most citedIterative Visual Recognition for Learning Based Randomized Bin-Picking

4 citations · 6 across the 4 of their papers we have counts for

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cs.RO20242 cited

Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning

Hao Chen, Weiwei Wan, Masaki Matsushita +2

A combined task-level reinforcement learning and motion planning framework is proposed in this paper to address a multi-class in-rack test tube rearrangement problem. At the task l…

cs.RO20241 cited

Many-Objective-Optimized Semi-Automated Robotic Disassembly Sequences

Takuya Kiyokawa, Kensuke Harada, Weiwei Wan +3

This study tasckles the problem of many-objective sequence optimization for semi-automated robotic disassembly operations. To this end, we employ a many-objective genetic algorithm…

cs.RO2023

Implicit Contact-Rich Manipulation Planning for a Manipulator with Insufficient Payload

Kento Nakatsuru, Weiwei Wan, Kensuke Harada

This paper uses a mobile manipulator with a collaborative robotic arm to manipulate objects beyond the robot's maximum payload. It proposes a single-shot probabilistic roadmap-base…

cs.RO20224 cited

Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing

Junbo Zhang, Weiwei Wan, Nobuyuki Tanaka +2

This paper presents a system integration approach for a 6-DoF (Degree of Freedom) collaborative robot to operate a pipette for liquid dispensing. Its technical development is three…

cs.RO2016

Robot Introspection via Wrench-based Action Grammars

Juan Rojas, Zhengjie Huang, Shuangqi Luo +3

Robotic failure is all too common in unstructured robot tasks. Despite well designed controllers, robots often fail due to unexpected events. How do robots measure unexpected event…

cs.RO20161 cited

Assembly Sequence Planning for Motion Planning

Weiwei Wan, Kensuke Harada, Kazuyuki Nagata

This paper develops a planner to find an optimal assembly sequence to assemble several objects. The input to the planner is the mesh models of the objects, the relative poses betwe…