1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
Learning specifications for reactive synthesis with safety constraints
Kandai Watanabe, Nicholas Renninger, Sriram Sankaranarayanan +1
This paper presents a novel approach to learning from demonstration that enables robots to autonomously execute complex tasks in dynamic environments. We model latent tasks as prob…
Optimal Planning for Timed Partial Order Specifications
Kandai Watanabe, Georgios Fainekos, Bardh Hoxha +3
This paper addresses the challenge of planning a sequence of tasks to be performed by multiple robots while minimizing the overall completion time subject to timing and precedence…
SHIRO: Soft Hierarchical Reinforcement Learning
Kandai Watanabe, Mathew Strong, Omer Eldar
Hierarchical Reinforcement Learning (HRL) algorithms have been demonstrated to perform well on high-dimensional decision making and robotic control tasks. However, because they sol…
Self-Contained Kinematic Calibration of a Novel Whole-Body Artificial Skin for Human-Robot Collaboration
Kandai Watanabe, Matthew Strong, Mary West +4
In this paper, we present an accelerometer-based kinematic calibration algorithm to accurately estimate the pose of multiple sensor units distributed along a robot body. Our approa…