Robot Programming Research Articles

The intentions of the designers of digital educational tools in early childhood education

The popularity of programmable robots in early childhood education is growing. Such robots are discussed in the literature from the points of view of teachers, parents and children. We add the role of robot designers to this list. Focusing on designers and specifically their intentions is beneficial in two settings: in teacher training and whenever using the robots in playing activities in ECE. We present a qualitative study on robot designer intentions, conducted by group interviews with designers of two common but significantly different programmable robots, the Kubo robot and the Rugged robot. Using Activity Theory as the underlying framework for the thematic analysis of the interviews, our data reveal a large overlap of the intentions of both groups. They express the common goal of preparing children for the future although through slightly different competencies: enhancing computational thinking and 21st century skills, respectively. Both groups highlight the relevance of subjects outside computer science, specifically beyond coding. Our data also show a design process difference the Rugged robot was developed with a teacher-oriented approach whereas the Kubo robot with an object-oriented approach.

A Methodology for end user programming of ROS-based service robots using jigsaw metaphor and ontologies

A Methodology for end user programming of ROS-based service robots using jigsaw metaphor and ontologies

Efficacy of computer-assisted robotic based clinical training program for spinal oncology education on pedicle screw placement.

Pedicle screw placement (PSP) is the fundamental surgical technique that requires high accuracy for novice orthopedists studying spinal oncology education. Therefore, we set forth to establish a computer-assisted robotic navigation training program for novice spinal oncology education. Novice orthopedists were involved in this study to evaluate the feasibility and safety of the computer-assisted robotic navigation (CARN) training program. In this research, trainees were randomly taught by the CARN training program and the traditional training program. We prospectively collected the clinical data of patients with spinal tumors from 1st May 2021 to 1st March 2022. The ability of PSP was evaluated by cumulative sum (CUSUM) analysis, learning curve, and accuracy of pedicle screws. The patients included in both groups had similar baseline characteristics. In the CUSUM analysis of the learning curve for accurate PSP, the turning point in the CARN group was lower than that in the traditional group (70th vs. 92nd pedicle screw). The LC-CUSUM test indicated competency for PSP at the 121st pedicle screw in the CARN group and the 138th pedicle screw in the traditional group. The accuracy of PSP was also significantly higher in the CARN group than in the traditional group (88.17% and 79.55%, P = 0.03 < 0.05). Furthermore, no major complications occurred in either group. We first described CARN in spinal oncology education and indicated the CARN training program as a novel, efficient and safe training program for surgeons.

The Robotic Multi-Care Network: A Field Study of a “Robot Grandchild” in South Korea

Technical solutions are being presented for the healthcare and welfare of the aging population. One example is Hyodol, a robot developed for older adults living alone in South Korea. By offering various services such as religious chanting, dementia-prevention quizzes, and daily medication reminders, Hyodol is expected to serve as a companion for lonely older adults. This paper analyzes how the robotic care program for older adults is operating within the Korean public welfare system. Based on our fieldwork at regional welfare institutions and older adults’ homes, we show that the robots along with its monitoring system, older adults, institutional managers, caregivers, company staff, and family are forming what we call a “robotic multi-care network.” Within this network, the elderly users cultivate their own ways of building relationships with the robot, some perceiving it as a “grandchild” while others view it as a medium to connect with caregivers. The introduction of the care robot at the welfare institutions does not make their elderly care work unmanned, nor does the robot substitute for human caregivers. Instead, it displaces and redistributes the caregivers’ tasks and responsibilities, leading to multiple eldercare practices—tactile, digital, proximate, remote.

Robotic-assisted laparoscopic partial nephrectomy vs. laparoscopic and open partial nephrectomy A single-site, two-surgeon, retrospective cohort study.

In 2019, our center attempted to transition all partial nephrectomies (PNs) to robotic-assisted laparoscopic PN (RALPN). The purpose of this study was to compare RALPN outcomes to laparoscopic PN (LPN) and open PN (OPN) at our institution, as there is limited literature from Canadian centers. In this single-center, two-surgeon, retrospective cohort study, we compared RALPN outcomes during the early phase of our robotics program to OPN and LPN performed just before the introduction of RALPN. A total of 106 patients underwent OPN, 83 LPN, and 82 RALPN during the study period. Median RALPN REN AL score was 7 vs. 6 for LPN (p<0.05) and 8 for OPN (p=0.10). Median RALPN length of stay (LOS) was two days vs. three and four days for LPN and OPN (p<0.05), respectively. OPN median procedure time was 104 minutes vs. 94 and 82 minutes for LPN and RALPN (p<0.05), respectively. Median OPN operating room (OR) time was 160 minutes vs. 150 and 146 minutes for LPN and RALPN (p<0.05), respectively. There were no significant differences in intraoperative (p=0.92) or postoperative complication rates (p=0.47). RALPN warm ischemia time (WIT) was 17 minutes vs. 14.5 and 15 minutes for OPN and LPN (p<0.05), respectively. Median RALPN estimated blood loss (EBL) was 165 ml vs. 250 ml for OPN (p<0.05) and 125 ml for LPN (p=0.15). Although patients who underwent RALPN had longer WIT, they had similar rates of complications, required less total OR time, and had shorter procedure times and LOS compared with OPN and LPN despite similar REN AL scores compared to OPN and greater scores than LPN.

Research on the Criminal Law Regulation of Crimes Caused by Out-of-Control Intelligent Robot Programs

This article explores the legal regulation of the crime caused by out-of-control intelligent robot programs. The author has proposed criminal regulation in various aspects such as program design, testing and certification, users and regulators. In the program design stage, suggestions were put forward to accurately determine the relationship between harmful behavior, criminal behavior, and implementation behavior. In the program testing and certification stage, it is advocated to use the conditional theory and objective attribution theory to determine responsibility, in order to distinguish the behavior bearers in the crime of losing control of intelligent robot programs. For users and regulators, it is recommended to strengthen the regulation of foresight obligations for the crime of losing control of intelligent robot programs, in order to reduce the risk of illegal activities caused by program failures.

Pendampingan Program Technocreator dan Perancangan Kurikulum Ekstrakurikuler Robotik untuk SMAK 1 BPK Penabur Bandung

This community service establishes a collaborative effort between Parahyangan Catholic University and SMAK 1 BPK PENABUR Bandung to enhance the TechnoCreator program through community involvement. The program aims to enhance students' understanding of electronics by incorporating advanced technologies like the Internet of Things (IoT) and machine learning. It also introduces the concepts of Industry 4.0 and technopreneurship. The research entailed conducting a series of focused group talks, often known as focus groups, to ascertain the material and learning requirements. Additionally, an extracurricular curriculum for robotics was developed. The outcomes are the creation of novel educational programs, maintenance of guest lectures, strategic planning for the construction of an ESP32-based Internet of Things kit, the design of a prototype industrial automation system, and the implementation of a supplementary robotics program aimed at enhancing students' preparedness for advanced studies in electrical engineering. The activity also seeks to facilitate the transfer of students from secondary education to college. The result implies that this project effectively enhances student learning experiences and can be used as a blueprint for comparable technology education programs in the future.

Analysis of Energy Consumption of Robotic Welding Stations

Analysis of the energy consumption of industrial robots during the implementation of a technological task can increase efficiency and minimize production costs, as well as extend the service life of robots, taking into account the rational use of energy sources. An important challenge in designing sustainable production processes is the selection of energy-saving technological equipment supporting the work of robots. Additionally, optimization of robot program codes, including parameters and robot movement paths, determines the energy efficiency of the robotic station. Welding is one of the most popular areas of process robotization due to its ability to increase production efficiency and improve the quality of part assembly compared to manual work. In these studies, an exemplary process of robotic welding of aluminum alloy parts was designed, analyzed, and optimized with an orientation towards sustainable development guidelines. This work also presents a review of current publications discussing the authors’ contribution to achieving energy efficiency in robotic welding processes. The purpose of this analysis is also to indicate directions for the development of future research work in order to minimize energy consumption in production processes with an appropriate level of product quality and increase production efficiency.

Safety and feasibility of instituting a robotic pancreas program in the Australian setting: a case series and narrative review.

Minimally invasive pancreatic resection has been gathering interest over the last decade due to the technical demands and high morbidity associated with these typically open procedures. We report our experience with robotic pancreatectomy within an Australian context. All patients undergoing robotic distal pancreatectomy (DP) and pancreaticoduodenectomy (PD) at two Australian tertiary academic hospitals between May 2014 and December 2020 were included. Sixty-two patients underwent robotic pancreatectomy during the study period. Thirty-four patients with a median age of 68 years (range 42-84) were in the PD group whilst the DP group included 28 patients with a median age of 60 years (range 18-78). Thirteen patients (46.4%) in the DP group had spleen-preserving procedures. There were 13 conversions (38.2%) in the PD group whilst 0 conversions occurred in the DP group. The Clavien-Dindo grade ≥III complication rate was 26.4% and 17.9% in the PD and DP groups, respectively. Two deaths (5.9%) occurred within 90-days in the PD group whilst none were observed in the DP group. The median length of hospital stay was 11.5 days (range 4-56) in the PD group and 6 days (range 2-22) in the DP group. Robotic pancreatectomy outcomes at our institution are comparable with international literature demonstrating it is both safe and feasible to perform. With improved access to this platform, robotic pancreas surgery may prove to be the turning point for patients with regards to post-operative complications as more experience is obtained.

Novel Gesture-Based Robot Programming Approach with the Ability of Code Reuse

Nowadays, there is a worldwide demand to create new, simpler, and more intuitive methods for the manual programming of industrial robots. Gestures can allow the operator to interact with the robot more simply and naturally, as gestures are used in everyday life. The authors have developed and tested a gesture-based robot programming approach for part-handling applications. Compared to classic manual programming methods using jogging and lead-through, the gesture control method reduced wasted time by up to 70% and reduced the probability of operator error. In addition, the proposed method compares favorably with similar works in that the proposed approach allows one to write programs in the native programming language of the robot’s controller and allows the operator to control the gripper of an industrial robot.

Investigating Collaborative Robotic Assembly: A Case Study of the FANUC CRX-10 iA/L in Industrial Automation at i-Labs

This study examines the practicality and limitations of using a FANUC CRX-10 iA/l collaborative robot to assemble a product component, highlighting the trade-offs between increased robotization and reduced manual intervention. Through a detailed case study in the i-Labs laboratory, critical factors affecting precision assembly such as station layout, tooling design and robot programming are discussed. The findings highlight the benefits of robots for nonstop operation, freeing up human operators for higher value tasks despite longer cycle times. In addition, the paper advocates further research into reliable gripping of small components, a current challenge for robotics. The work contributes to open science by sharing partial results and methods that could inform future problem solving in robotic assembly.

A metaphor-based robot programming approach to facilitating young children’s computational thinking and positive learning behaviors

In the artificial intelligence age, cultivating young children's computational thinking (CT) has sparked tremendous attention. Programmable robotics is a developmental-appropriate and screen-free means that provides young children with great opportunities to learn programming and develop CT. However, it is reported that young children might have difficulties learning abstract CT concepts. As a helpful pedagogical facilitator, metaphors can help turn abstract concepts into more concrete and clear concepts that learners are familiar with. Therefore, this research proposed a metaphor-based robot programming (MRP) approach and explored its impact on young children's CT and behavioral patterns. A total of 118 children aged 5–6 were recruited in this experiment with two conditions: the experimental group adopted the metaphor-based robot programming (MRP) approach while the control group used the conventional robot programming (CRP) approach. Results revealed that children who adopted the MRP approach outperformed children who adopted the CRP approach on CT. In addition, behavioral analysis indicated that the proposed MRP approach could facilitate children's superior learning performance and more positive learning behaviors, so as to help them achieve learning objectives. Accordingly, this study can provide insightful guidance and inspiration for future research on effective programming teaching and CT development for young children.

Extraperitoneal robot assisted laparoscopic prostatectomy with Versius system: single centre experience.

Versius Surgical System (CMR Surgical, Cambridge, UK) is a novel tele-operated robotic surgical system designed to assist surgeons for minimally invasive surgery which is gaining momentum in the world of robotic surgery. We describe our single centre experience with Versius and report the advantages and challenges posed by this new robotic system in a series of 53 extraperitoneal robotic assisted laparoscopic prostatectomies (eRALP) for prostate cancer (PCa). Data of 53 eRALP performed with Versius in our centre were collected and analysed, Descriptive statistics were used to report our results. In 16 months we performed 53 eRALP: 18 (34%) with PLND, 33 (62%) nerve sparingcases. Mean setup time was 15 min, mean console time was 100 min and mean operative time was 130 min. We observed a substantial reduction of console time and set-up time after only 5 procedures. In the first 4 procedures, the dissection of the neurovascular bundle was performed laparoscopically, to switch back to robotic assisted approach afterwards. No major system failures were observed. No major intra-operative and post-operative complications occurred. Mean follow-up time was 9 months (range 3-15 months); no patients experienced biochemical recurrence or metastatic progression over this period, 8 (15%) patients had adjuvant radiotherapy based on unfavourable pathology report (positive surgical margins or positive limphnodes). This represents to our knowledge the largest extraperitoneal RALP case series with Versius, and it aims to provide solid clinical proof of the safety, effectiveness and versatility of this innovative system. In our experience, this platform represents a good option for every urologic surgeon who wants to start a robotic programme and it appears particularly suitable for urologists with a large laparoscopic expertise.

Emergent Chirality and Hyperuniformity in an Active Mixture with Nonreciprocal Interactions.

We investigate collective dynamics in a binary mixture of programmable robots in experiments and simulations. While robots of the same species align their motion direction, interaction between species is distinctly nonreciprocal: species A aligns with B and species B antialigns with A. This nonreciprocal interaction gives rise to the emergence of collective chiral motion that can be stabilized by limiting the robot angular speed to be below a threshold. Within the chiral phase, increasing the robot density or extending the range of local repulsive interactions can drive the system through an absorbing-active transition. At the transition point, the robots exhibit a remarkable capacity for self-organization, forming disordered hyperuniform states.

Comparative analysis of robotic single-site cholecystectomy outcomes between novice and expert surgeons.

Single-incision laparoscopic cholecystectomy (SILC) has declined in popularity, posing a challenge for novice surgeons. However, robotic single-site cholecystectomy (RSSC) has gained popularity in hepatopancreatic surgery, suggesting a paradigm shift in minimally invasive procedures due to the advantages of robotic platforms. The purpose of this study was to compare the surgical outcomes and learning curves between experts and novices without SILC experience, and discuss the utility and potential of RSSC for novice surgeons. A total of 235 patients underwent RSSC between April 2019 and June 2023 at the OOO University Hospital. Among them, 31 cases from novice and expert surgeons were selected to compare their initial experience. Comprehensive demographic and perioperative factors were analyzed and statistical comparisons were made, including cumulative sum analysis (CUSUM) for learning curves. The demographic factors showed no statistically significant differences between the two groups. Although the docking time (P < 0.001) and hospital stay (P = 0.014) were statistically significant, the total operative time and other perioperative factors were comparable. Novice surgeons demonstrated a shorter absolute total operative time, primarily attributed to differences in docking time. The CUSUM analysis indicated a shorter learning curve for novice surgeons. This study shows that the inherent benefits of the robotic platform make it an accessible and reproducible technique for novices. The benefits of integrating observational learning into robotic surgery training programs and the intrinsic advantages of the robotic platform in minimizing the learning curve for RSSC were also highlighted.

PRogramAR: Augmented Reality End-User Robot Programming

The field of end-user robot programming seeks to develop methods that empower non-expert programmers to task and modify robot operations. In doing so, researchers may enhance robot flexibility and broaden the scope of robot deployments into the real world. We introduce PRogramAR (Programming Robots using Augmented Reality), a novel end-user robot programming system that combines the intuitive visual feedback of augmented reality (AR) with the simplistic and responsive paradigm of trigger-action programming (TAP) to facilitate human-robot collaboration. Through PRogramAR, users are able to rapidly author task rules and desired reactive robot behaviors, while specifying task constraints and observing program feedback contextualized directly in the real world. PRogramAR provides feedback by simulating the robot’s intended behavior and providing instant evaluation of TAP rule executability to help end users better understand and debug their programs during development. In a system validation, 17 end users ranging from ages 18 to 83 used PRogramAR to program a robot to assist them in completing three collaborative tasks. Our results demonstrate how merging the benefits of AR and TAP using elements from prior robot programming research into a single novel system can successfully enhance the robot programming process for non-expert users.

Competencies in the Robotics of Care for Nursing Robotics: A Scoping Review.

In parallel with the development and design of different technological advances, competencies in nursing have advanced. With the development of robotics, it is expected that nursing robotic competencies will also increase. The aim of this study is to review the competencies in nursing robotics. A review was conducted between January 2017 and December 2023. The search strategy was carried out in the MEDLINE database (through PubMed). This review explores the developmental competencies in nursing robotics and informatics. The data extraction in this review included an intentional search for competencies and learning outcomes in engineering and robotic programs. A total of 340 competencies and program outcomes were reviewed. The synthesis of the data established a total of 17 developmental competencies in nursing robotics based on this knowledge extraction, which we organized into five categories: assessment, diagnosis, planning, intervention (implementation) and evaluation. This review suggests that nursing robotic competencies for the development of care robotics are still scarce, and there is an opportunity for the development of competencies and the definition of new roles in the area of nursing informatics in order to adapt to the new health care demands of society.

Who is behind the robot? The role of public social workers in implementing robotic eldercare program in South Korea

ABSTRACT A companion robot named Hyodol is a digital technology implemented for eldercare in South Korea. Drawing insights from semi-structured interviews with public social workers actively involved in the Hyodol care program, this study explores how social workers contribute to the success of the robotic care program. Throughout the phases of selecting potential users, introducing older adults to the robot, and maintaining the robotic program, the practical wisdom of social workers plays an important role. Despite the increased workload in case management and the emotional labor associated with navigating the care system, these pioneering social workers maintained high morale to adopt the robotic care system. By shedding light on the specific roles of social workers, this study contributes to a deeper understanding of the intricate dynamics that underlie successful robotic eldercare.

Opinion, uptake and current practice of robot-assisted upper gastrointestinal and oesophagogastric surgery in the UK: AUGIS national survey results.

The uptake of upper gastrointestinal (GI) robotic surgery in the United Kingdom (UK), and Europe more widely, is expanding rapidly. This study aims to present a current snapshot of the practice and opinions of the upper GI community with reference to robotic surgery, with an emphasis on tertiary cancer (oesophagogastric) resection centres. An electronic survey was circulated to the UK upper GI surgical community via national mailing lists, social media and at an open-invitation conference on robotic upper GI surgery in January 2023. The survey included questions on surgeons' current practice or planned adoption (if any) of robotics at individual and unit level, and their opinions on robotic upper GI surgery in general. Priority ranking and Likert-scale response options were used. In total, 81 respondents from 43 hospitals were included. Thirty-four resectional centres responded, including 30 of 31 (97%) recognised upper GI cancer centres in England. Respondents reported performing robotic surgery in 21 of 34 (61.8%) resectional centres, with a median of 65 procedures per centre performed at the time of the survey (range 0-500, interquartile range 93.75). Every centre without a robotic programme expressed a desire or had active plans to implement one. Respondents ranked surgeon ergonomics as the most important reason for pursuing robotics, followed by improvements in patient outcomes and oncological efficacy. Robotic upper GI practice is nascent but rapidly growing in the UK with plans for uptake in almost all tertiary centres. There is growing opinion that this is likely to become the predominant surgical approach in future with benefits to both patients and surgeons. This snapshot offers a point of reference to all stakeholders in upper GI surgery.

Introducing a robotic surgery program in the Greek National Healthcare System: Obstacles we need to overcome

A National Healthcare Systems’ primary objective is to ensure equal access to its members. Every advancement in medicine, which has proven to be safe and efficient, must be provided to every patient regardless of their socioeconomic background or financial status. However, the systems’ nonprofit guiding principle results in inadequate financial support, which generates a vicious cycle of disproportionate access to its resources. A recent technological breakthrough in surgery, with several bestowed advantages, is the robotic surgical platform. However, its implementation in the Greek National Healthcare System, for the common good, is associated with several obstacles. The purpose of this article is to outline these obstacles and to suggest potential solutions, in order to eliminate any disparities between patients operated in public or private sector hospitals.