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20232026
most citedMorphoCopter: Design, Modeling, and Control of a New Transformable Quad-Bi Copter

5 citations · 10 across the 25 of their papers we have counts for

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14 papers · 1 filter

cs.RO2026

PHR-VLA: Planning Horizon Reasoning for Vision-Language-Action Models

Davood Soleymanzadeh, Kaidi Zhang, Zhiyuan Zhang +4

Vision-language-action models (VLAs) have shown strong promise for general-purpose robotic manipulation by mapping language instructions and vision observations directly to actions…

cs.RO2026

NeurRAFT: Robot Motion Planning via Anchor-Level Flow Matching with Clearance-Aware Preference Tuning

Sibo Tian, Chang Liu, Minghui Zheng +1

Recent end-to-end neural motion planners generate trajectories from raw sensor observations, avoiding the privileged geometric models required by classical planners. However, colli…

cs.RO2026

SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich Disassembly

Chang Liu, Sibo Tian, Xiao Liang +1

Disassembly automation has long been pursued to address the growing demand for efficient and proper recovery of valuable components from the end-of-life (EoL) electronic products.…

cs.RO2026

TATIC: Task-Aware Temporal Learning for Human Intent Inference from Physical Corrections in Human-Robot Collaboration

Jiurun Song, Xiao Liang, Minghui Zheng

In human-robot collaboration (HRC), robots must adapt online to dynamic task constraints and evolving human intent. While physical corrections provide a natural, low-latency channe…

cs.RO2026

DRAFTO: Decoupled Reduced-space and Adaptive Feasibility-repair Trajectory Optimization for Robotic Manipulators

Yichang Feng, Xiao Liang, Minghui Zheng

This paper introduces a new algorithm for trajectory optimization, Decoupled Reduced-space and Adaptive Feasibility-repair Trajectory Optimization (DRAFTO). It first constructs a c…

cs.RO2026

GAIDE: Graph-based Attention Masking for Spatial- and Embodiment-aware Motion Planning

Davood Soleymanzadeh, Xiao Liang, Minghui Zheng

Sampling-based motion planning algorithms are widely used for motion planning of robotic manipulators, but they often struggle with sample inefficiency in high-dimensional configur…