activity
20202022
most citedProximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications

163 citations · 203 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2022

A Dual-Arm Robot that Manipulates Heavy Plates Cooperatively with a Vacuum Lifter

Shogo Hayakawa, Weiwei Wan, Keisuke Koyama +1

A vacuum lifter is widely used to hold and pick up large, heavy, and flat objects. Conventionally, when using a vacuum lifter, a human worker watches the state of a running vacuum…

cs.RO2021★ 163 cited

Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications

Stefan Escaida Navarro, Stephan Mühlbacher-Karrer, Hosam Alagi +5

Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems…

cs.RO2021★ 1 cited

A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking

Xinyi Zhang, Keisuke Koyama, Yukiyasu Domae +2

This paper addresses the problem of picking up only one object at a time avoiding any entanglement in bin-picking. To cope with a difficult case where the complex-shaped objects ar…

cs.RO2021★ 6 cited

Controlling Pivoting Gait using Graph Model Predictive Control

Ang Zhang, Keisuke Koyama, Weiwei Wan +1

Pivoting gait is efficient for manipulating a big and heavy object with relatively small manipulating force, in which a robot iteratively tilts the object, rotates it around the ve…

cs.RO2021

Error Identification and Recovery in Robotic Snap Assembly

Yusuke Hayami, Weiwei Wan, Keisuke Koyama +3

Existing methods for predicting robotic snap joint assembly cannot predict failures before their occurrence. To address this limitation, this paper proposes a method for predicting…

cs.RO2021★ 1 cited

A Dual-arm Robot that Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks

Shogo Hayakawa, Weiwei Wan, Keisuke Koyama +1

This paper develops a planner that plans the action sequences and motion for a dual-arm robot to lift up and flip heavy plates using crane pulley blocks. The problem is motivated b…

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★ 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

Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands

Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa +3

Synergy supplies a practical approach for expressing various postures of a multi-fingered hand. However, a conventional synergy defined for reproducing grasping postures cannot per…

cs.RO2020★ 1 cited

Planning to Build Soma Blocks Using a Dual-arm Robot

Hao Chen, Weiwei Wan, Keisuke Koyama +1

This paper presents a planner that can automatically find an optimal assembly sequence for a dual-arm robot to assemble the soma blocks. The planner uses the mesh model of objects…

cs.RO2020★ 10 cited

Selecting and Designing Grippers for an Assembly Task in a Structured Approach

Jingren Xu, Weiwei Wan, Keisuke Koyama +2

In this paper, we present a structured approach to selecting and designing a set of grippers for an assembly task. Compared to current experience-based gripper design method, our a…