activity
20232026
most citedLabel-Efficient Learning in Agriculture: A Comprehensive Review

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback

Litian Liang, Jingxi Xu, Xinda Qi +7

For robots to work safely in household environments, they need to be compliant and react to torque and force feedback during contact. However, the majority of existing data collect…

cs.RO2026

Dynamic Modeling and Robust Gait Optimization of a Compliant Worm Robot

Xinyu Zhou, Yu Mei, Faith Thomson +3

Worm-inspired robots provide an effective locomotion strategy for constrained environments by combining cyclic body deformation with alternating anchoring. For compliant robots, ho…

cs.RO2026

A Novel Modular Cable-Driven Soft Robotic Arm with Multi-Segment Reconfigurability

Moeen Ul Islam, Cheng Ouyang, Xinda Qi +3

This paper presents a novel, modular, cable-driven soft robotic arm featuring multi-segment reconfigurability. The proposed architecture enables a stackable system with independent…

cs.RO2025

Learning-Based Modeling of Soft Actuators Using Euler Spiral-Inspired Curvature

Yu Mei, Shangyuan Yuan, Xinda Qi +2

Soft robots, distinguished by their inherent compliance and continuum structures, present unique modeling challenges, especially when subjected to significant external loads such a…

cs.RO2024

Design and Nonlinear Modeling of a Modular Cable Driven Soft Robotic Arm

Xinda Qi, Yu Mei, Dong Chen +2

We propose a novel multi-section cable-driven soft robotic arm inspired by octopus tentacles along with a new modeling approach. Each section of the modular manipulator is made of…

cs.CV2023★ 4 cited

Label-Efficient Learning in Agriculture: A Comprehensive Review

Jiajia Li, Dong Chen, Xinda Qi +4

The past decade has witnessed many great successes of machine learning (ML) and deep learning (DL) applications in agricultural systems, including weed control, plant disease diagn…