Motion Planning for Handspring Maneuver Using a Two Link Robot

Author(s):  
Raunaq Bhirangi ◽  
Vivek Sangwan

Motion planning and control to generate human like walking with bipedal robots has been an active area of research for several decades. Besides walking, humans are capable of performing several other complex maneuvers using their limbs. A handspring is one such maneuver. During this acrobatic move, a person performs a complete revolution of the body by first placing her hands as if in a handstand, then pushing off of the floor with her hands to return to a standing position. Often, acrobats leverage the momentum from one handspring to perform a series of continuous back-to-back handsprings. In this paper, we present handspring trajectory planning for a simple two link robot using numerical optimization. We are able to generate near-periodic perpetual handspring-like maneuvers using two different actuation strategies (i) a constant torque at the hip joint, and (ii) an impulsive actuation to the imminent free leg.

Author(s):  
Hua Chen ◽  
Bingheng Wang ◽  
Zejun Hong ◽  
Cong Shen ◽  
Patrick M. Wensing ◽  
...  

Author(s):  
Fahad Iqbal Khawaja ◽  
Akira Kanazawa ◽  
Jun Kinugawa ◽  
Kazuhiro Kosuge

Human-Robot Interaction (HRI) for collaborative robots has become an active research topic recently. Collaborative robots assist the human workers in their tasks and improve their efficiency. But the worker should also feel safe and comfortable while interacting with the robot. In this paper, we propose a human-following motion planning and control scheme for a collaborative robot which supplies the necessary parts and tools to a worker in an assembly process in a factory. In our proposed scheme, a 3-D sensing system is employed to measure the skeletal data of the worker. At each sampling time of the sensing system, an optimal delivery position is estimated using the real-time worker data. At the same time, the future positions of the worker are predicted as probabilistic distributions. A Model Predictive Control (MPC) based trajectory planner is used to calculate a robot trajectory that supplies the required parts and tools to the worker and follows the predicted future positions of the worker. We have installed our proposed scheme in a collaborative robot system with a 2-DOF planar manipulator. Experimental results show that the proposed scheme enables the robot to provide anytime assistance to a worker who is moving around in the workspace while ensuring the safety and comfort of the worker.


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