Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
In this paper, we introduce a new hexapedal locomotion controller that simulation evidence suggests will be capable of driving our RHex robot at speeds exceeding five body length...
This report presents the development of tactile sensing-based control architecture in a multi-fingered humanoid robot arm for object manipulation tasks. With the aim to enhance the...
Hanafiah B. Yussof, Masahiro Ohka, Hirofumi Suzuki...