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20212026
most citedSelf-Contained Kinematic Calibration of a Novel Whole-Body Artificial Skin for Human-Robot Collaboration

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

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…

cs.RO2024

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…

cs.FL2023

Timed Partial Order Inference Algorithm

Kandai Watanabe, Bardh Hoxha, Danil Prokhorov +4

In this work, we propose the model of timed partial orders (TPOs) for specifying workflow schedules, especially for modeling manufacturing processes. TPOs integrate partial orders…

cs.RO2022

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…

cs.RO2021★ 1 cited

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…