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From the 2 of 24 linked papers with an AI index.

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20242026
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cs.RO2026

Beyond Visual Grasping: Benchmarking Complex Grasping from Detection to Execution

Hanyi Zhang, Khang Nguyen, Charith Munasinghe +10

The paper introduces GCA-Bench, a new benchmark for evaluating robotic grasping in complex, multi-step scenarios that require scene-level reasoning and semantic constraints, and as…

cs.RO2026

RoboDesign1M: A Large-scale Dataset for Robot Design Understanding

Tri Le, Toan Nguyen, Quang Tran +6

The paper presents RoboDesign1M, a million‑sample multimodal dataset of robot designs collected from scientific literature, and shows its usefulness for tasks such as design image…

cs.RO2026

CoMo3R-SLAM: Collaborative Monocular Dense SLAM with Learned 3D Reconstruction Priors for Outdoor Multi-Agent Systems

Zhihao Cao, Qi Shao, Shuhao Zhai +4

Collaborative dense SLAM is essential for multi-robot teams to achieve scalable and consistent 3D perception across large-scale outdoor environments. Existing systems typically dep…

cs.RO2026

MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction

Zhihao Cao, Qi Shao, Shuhao Zhai +4

Collaborative photorealistic 3D reconstruction from multiple agents enables rapid large-scale scene capture for virtual production and cooperative multi-robot exploration. While re…

cs.RO2025

Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-Manipulation

Congcong Wen, Geeta Chandra Raju Bethala, Yu Hao +8

Humanoid loco-manipulation, which integrates whole-body locomotion with dexterous manipulation, remains a fundamental challenge in robotics. Beyond whole-body coordination and bala…

cs.RO2025

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System

Quang Nguyen, Tri Le, Huy Nguyen +5

Language-driven grasp detection has the potential to revolutionize human-robot interaction by allowing robots to understand and execute grasping tasks based on natural language com…