output
20182026
most citedClient Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

1.6k citations

Showing cs.ROShow all

6 papers · 1 filter

cs.RO2025★ 1 cited

PLEXUS Hand: Lightweight Four-Motor Prosthetic Hand Enabling Precision-Lateral Dexterous Manipulation

Yuki Kuroda, Tomoya Takahashi, Cristian C Beltran-Hernandez +2

Electric prosthetic hands should be lightweight to decrease the burden on the user, shaped like human hands for cosmetic purposes, and have motors inside to protect them from damag…

cs.RO2025

KeyMPs: One-Shot Vision-Language Guided Motion Generation by Sequencing DMPs for Occlusion-Rich Tasks

Edgar Anarossi, Yuhwan Kwon, Hirotaka Tahara +6

Dynamic Movement Primitives (DMPs) provide a flexible framework wherein smooth robotic motions are encoded into modular parameters. However, they face challenges in integrating mul…

cs.RO2024★ 2 cited

A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme

Xingdou Fu, Lin Miao, Yasuhiro Ohnishi +2

Bin picking systems in factory automation usually face robustness issues caused by sparse and noisy 3D data of metallic objects. Utilizing multiple views, especially with a one-sho…

cs.RO2020★ 2 cited

An analytical diabolo model for robotic learning and control

Felix von Drigalski, Devwrat Joshi, Takayuki Murooka +3

In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system. We first derive…

cs.RO2020★ 21 cited

Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools

Felix von Drigalski, Chisato Nakashima, Yoshiya Shibata +12

We propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers. Instead of specialized end effectors, it uses its two-finger gr…

cs.RO2019★ 6 cited

Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge

Felix von Drigalski, Christian Schlette, Martin Rudorfer +5

The Industrial Assembly Challenge at the World Robot Summit was held in 2018 to showcase the state-of-the-art of autonomous manufacturing systems. The challenge included various ta…