This paper proposes RL-MACRO, a cybernetic closed-loop intelligence framework for autonomous robotic craniotomy, which includes a CNN-LSTM observer for temperature reconstruction, an offline Implicit…

The paper proposes CTRL-STEER, a closed-loop framework that adaptively adjusts intervention strength to stabilize concept regulation and improve task success in Vision-Language-Action models without r…

This paper proposes coupled egocentric control, a body-following teleoperation approach for whole-body robot control, improving efficiency, reducing effort, and increasing ease of use.

Development of a compliant full-body telepresence control stack for miniature humanoids, enabling tele-locomotion and manipulation.

Researchers developed a 2mm diameter eversion-growing robotic platform for safe and friction-minimized extension and steering within the human spinal subarachnoid space, validated through computationa…

The paper presents RoboSpatialBrain, a system that combines two mechanisms to improve spatial reasoning in vision-language models for embodied tasks, achieving first place in the RoboSpatial Challenge…

This paper introduces Parallel ARC (P-ARC), a parallel version of Adaptive Robot Coordination approach for multi-robot motion planning, and evaluates its performance using a set of scaling scenarios w…

This paper presents Mana, a sim-to-real framework for dexterous articulated tool manipulation.

The paper introduces a diagnostic framework to determine if World-Action Models (WAMs) provide genuinely actionable behavioral improvements beyond simply achieving task success, finding that WAMs ofte…

This paper presents ABot-C0, a motion-control system for quadruped robots, which includes a scalable multi-source motion-data pipeline, robust policy learning, and a unified deployment stack for real-…

The paper introduces MindClaw, a closed-loop framework that enables embodied agents to perform real-time mental-state reasoning and intervene with precision, significantly outperforming standard VLM b…

GSAM introduces a generalizable and safe robotic framework for articulated object manipulation, significantly improving success rates and reducing variability across diverse tasks by integrating commo…

This paper introduces FurnitureVLA, a systematic study of real-scale bimanual furniture assembly using Vision-Language-Action models, improving simulation success from 48% to 80% and reducing errors.

A single robot platform, Handroid, is introduced that can function as both a dexterous hand and a humanoid robot, with interchangeable control and learning frameworks.

This paper presents ArtiTwinSplat, a framework for constructing articulated, photo-realistic digital twins of objects directly from RGB-D videos in real-world environments.