Abstract
Bioinspired jumping robots need to be able to move on rough terrain. Despite the high rigidity and low control difficulty of robots with one-DOF jumping legs, they are more prone to losing stability than robots with multi-DOF series legs due to the varying attitudes of bilateral jumping legs in the initial state, thereby further causing motion failure. For keeping the jumping stability of robots with one-DOF jumping legs, a coordinated allocation method of driving forces is proposed in this paper. On the basis of an analysis of the instability of a locust in the take-off phase, kinematics and dynamics models were established for a robot with active and passive driving modes, respectively. Unlike active driving, passive driving means that the driving forces cannot be adjusted in real time during the take-off phase, and the randomness of the terrain needs to be considered. With the forces of the bilateral jumping legs to the trunk, take-off velocity, and take-off time of the equivalent center of mass as target values, the difference of target values on both sides should be approximately equal. Results show that with the driving forces obtained by the method proposed in this paper as the input, the effect of the rough terrain on the trunk is reduced, and the robot has good jumping stability. This study provides a theoretical basis for the application of jumping robots in complex environments.
Highlights
Bioinspired jumping robots demonstrate strong jumping ability by simulating the jumping process of creatures
With the locust as the imitated object [38]–[41], coordinated allocation method of driving forces is proposed for bioinspired jumping robots with one-DOF jumping legs on rough terrain
The main design purpose of bioinspired jumping robots is for the robot to move on rough terrain
Summary
Bioinspired jumping robots demonstrate strong jumping ability by simulating the jumping process of creatures. Z. Zhang et al.: Coordinated Allocation of Driving Forces for Bioinspired Robot With One-DOF Jumping Leg on Rough Terrain. Many researchers have studied the driving force allocation method to ensure jumping stability of robots on rough terrain [28]–[31]. With the locust as the imitated object [38]–[41], coordinated allocation method of driving forces is proposed for bioinspired jumping robots with one-DOF jumping legs on rough terrain. This technology can reduce the possibility of motion failure caused by the asymmetric movement of the jumping legs of robots during take-off phase. This study provides a theoretical basis for the control and application of jumping robots
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