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20242026
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cs.RO2026

GCS-Bridging: Restoring Connectivity of Disconnected Convex Sets for Graph-of-Convex-Sets Motion Planning

Xiaokai Zhou, Baoshi Cao, Yang Liu +4

Graph-of-Convex-Sets (GCS)-based trajectory optimization represents collision-free regions in configuration space as a finite collection of convex sets and directly performs collis…

cs.RO2026

HCPG-Flow:Hierarchical Contact-Progress Guidance for Flow-Policy Robot Manipulation

Guanghu Xie, Mingxu Li, Shuo Zhang +5

Flow policies can represent multimodal action distributions for robot manipulation, yet a robot must execute one action at each control step. When several proposals are sampled, cr…

cs.RO2026

CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation

Wu Songwei, Jiang Zhiduo, Sun Wandong +4

Learning long-horizon robotic manipulation requires jointly achieving expressive behavior modeling, real-time inference, and stable execution, which remains challenging for existin…

cs.RO2026

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation

Wandong Sun, Luying Feng, Baoshi Cao +3

Loco-Manipulation for humanoid robots aims to enable robots to integrate mobility with upper-body tracking capabilities. Most existing approaches adopt hierarchical architectures t…

cs.RO2026

Depth-PC: A Visual Servo Framework Integrated with Cross-Modality Fusion for Sim2Real Transfer

Haoyu Zhang, Yang Liu, Yimu Jiang +2

Visual servoing techniques guide robotic motion using visual information to accomplish manipulation tasks, requiring high precision and robustness against noise. Traditional method…

cs.RO2024

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning

Yiming Ji, Kaijie Yun, Yang Liu +2

Q-learning is a widely used reinforcement learning technique for solving path planning problems. It primarily involves the interaction between an agent and its environment, enablin…