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20152023
most citedVariable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach

176 citations · 716 across the 63 of their papers we have counts for

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Showing 2020Show all

14 papers · 1 filter

cs.RO2020★ 2 cited

Planning a Sequence of Base Positions for a Mobile Manipulator to Perform Multiple Pick-and-Place Tasks

Jingren Xu, Yukiyasu Domae, Toshio Ueshiba +2

In this paper, we present a planner that plans a sequence of base positions for a mobile manipulator to efficiently and robustly collect objects stored in distinct trays. We achiev…

cs.RO2020

Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning

Ruishuang Liu, Weiwei Wan, Keisuke Koyama +1

This paper develops a flexible and robust robotic system for autonomous drawing on 3D surfaces. The system takes 2D drawing strokes and a 3D target surface (mesh or point clouds) a…

cs.RO2020

Four-Arm Collaboration: Two Dual-Arm Robots Work Together to Maneuver Tethered Tools

Daniel Sanchez, Weiwei Wan, Keisuke Koyama +1

In this paper, we present a planner for a master dual-arm robot to manipulate tethered tools with an assistant dual-arm robot's help. The assistant robot provides assistance to the…

cs.RO2020★ 176 cited

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach

Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar +1

Industrial robot manipulators are playing a more significant role in modern manufacturing industries. Though peg-in-hole assembly is a common industrial task which has been extensi…

cs.RO2020★ 21 cited

A Mechanical Screwing Tool for 2-Finger Parallel Grippers -- Design, Optimization, and Manipulation Policies

Zhengtao Hu, Weiwei Wan, Keisuke Koyama +1

This paper develops a mechanical tool as well as its manipulation policies for 2-finger parallel robotic grippers. It primarily focuses on a mechanism that converts the gripping mo…

cs.RO2020★ 1 cited

Development of a Shape-memorable Adaptive Pin Array Fixture

Peihao Shi, Zhengtao Hu, Kazuyuki Nagata +3

This paper proposes an adaptive pin-array fixture. The key idea of this research is to use the shape-memorable mechanism of pin array to fix multiple different shaped parts with co…