Analysis of Cost Functions for Reinforcement Learning of Reaching Tasks in Humanoid Robots
In this paper, we present a study on transferring human motions to a humanoid robot for stable and precise task execution. We employ a whole-body motion imitation system that considers the stability of the robot to generate a stable reproduction of the demonstrated motion. However, the initially acq...
Main Authors: | Kristina Savevska, Aleš Ude |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/1/39 |
Similar Items
-
Humanoid robotic system for social interaction using deep imitation learning in a smart city environment
by: Sara Bader Alotaibi, et al.
Published: (2022-11-01) -
Deep-reinforcement-learning-based gait pattern controller on an uneven terrain for humanoid robots
by: Ping-Huan Kuo, et al.
Published: (2023-12-01) -
Learning Bipedal Walking for Humanoids With Current Feedback
by: Rohan P. singh, et al.
Published: (2023-01-01) -
Imitation System of Humanoid Robots and Its Applications
by: Ze-Feng Zhan, et al.
Published: (2023-01-01) -
Development of a New Robust Stable Walking Algorithm for a Humanoid Robot Using Deep Reinforcement Learning with Multi-Sensor Data Fusion
by: Çağrı Kaymak, et al.
Published: (2023-01-01)