Gedong Jiang — accepted AI-conference papers

2024

An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning From Demonstration

Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani

RA-L 2024

This work presents an ergonomic and interactive human-robot collaboration (HRC) framework, through which new collaborative skills are extracted from a one-shot human demonstration and learned through Riemannian dynamic movement primitives (DMP). The proposed framework responds to human-robot interac

Cited by 10 Source ↗Scholar ↗

2023

Collision-Free Motion Generation Based on Stochastic Optimization and Composite Signed Distance Field Networks of Articulated Robot

Baolin Liu, Gedong Jiang, Fei Zhao, Xuesong Mei

RA-L 2023

Safe robot motion generation is critical for practical applications from manufacturing to homes. In this work, we proposed a stochastic optimization-based motion generation method to generate collision-free and time-optimal motion for the articulated robot represented by composite signed distance fi

Cited by 30 Source ↗Scholar ↗