Abstract
This paper presents a method for planning a robot motion of daily tasks by learning the relationship between object shapes and human motions. Robots are required to be able to deal with multifarious objects in various categories. However, it is difficult for robots to plan motions automatically for performing a task because objects even in the same category have different shapes. In our method, the motions are estimated by learning the relationship between object shapes and human motions using linear regression analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 332-335 |
| Number of pages | 4 |
| Journal | Proceedings of International Conference on Artificial Life and Robotics |
| Volume | 2021 |
| Publication status | Published - 2021 |
| Event | 26th International Conference on Artificial Life and Robotics, ICAROB 2021 - Beppu, Oita, Japan Duration: Jan 21 2021 → Jan 24 2021 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Information Systems
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Modelling and Simulation