176 citations · 716 across the 63 of their papers we have counts for
64 papers
In-Rack Test Tube Pose Estimation Using RGB-D Data
Hao Chen, Weiwei Wan, Masaki Matsushita +2
Accurate robotic manipulation of test tubes in biology and medical industries is becoming increasingly important to address workforce shortages and improve worker safety. The detec…
A Closed-Loop Bin Picking System for Entangled Wire Harnesses using Bimanual and Dynamic Manipulation
Xinyi Zhang, Yukiyasu Domae, Weiwei Wan +1
This paper addresses the challenge of industrial bin picking using entangled wire harnesses. Wire harnesses are essential in manufacturing but poses challenges in automation due to…
Probabilistic Slide-support Manipulation Planning in Clutter
Shusei Nagato, Tomohiro Motoda, Takao Nishi +4
To safely and efficiently extract an object from the clutter, this paper presents a bimanual manipulation planner in which one hand of the robot is used to slide the target object…
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…
Learning to Dexterously Pick or Separate Tangled-Prone Objects for Industrial Bin Picking
Xinyi Zhang, Yukiyasu Domae, Weiwei Wan +1
Industrial bin picking for tangled-prone objects requires the robot to either pick up untangled objects or perform separation manipulation when the bin contains no isolated objects…
Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis
Hao Chen, Weiwei Wan, Masaki Matsushita +2
Deep learning methods have recently exhibited impressive performance in object detection. However, such methods needed much training data to achieve high recognition accuracy, whic…