Abstract
Opening a door, turning a steering wheel, rotating a coffee mill are typical examples of human movements constrained by the external environment. The constraints decrease the mobility of the human arm and leads to the redundancy in the distribution of the interaction force between the arm joints. Due to the redundancy of the force actuation in the constrained motions, there is infinite number of ways to form the trajectory of the arm. However, human forms the hand trajectory in a unique way. How does human resolve the redundancy of the constrained motions and specify the hand trajectory? To investigate these problems, we examine the trajectory of human arm in a crack rotation task. To explain the trajectory formation in constrained point-to-point motions, we formulate an optimal control problem and propose a novel criterion minimizing the hand contact force change and muscle force change over the time of movement. The simulation results are compared with human motion and force profiles obtained experimentally. It is shown that the novel criterion captures the characteristics of the human constrained motion much more satisfactory than conventional criteria accepted in the research community.
Original language | English |
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Pages (from-to) | 2884-2891 |
Number of pages | 8 |
Journal | Proceedings - IEEE International Conference on Robotics and Automation |
Volume | 2 |
Publication status | Published - 2003 |
Externally published | Yes |
Event | 2003 IEEE International Conference on Robotics and Automation - Taipei, Taiwan, Province of China Duration: Sept 14 2003 → Sept 19 2003 |
All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering