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20232026
most citedVision-Language-Action Models for Robotics: A Review Towards Real-World Applications

55 citations · 60 across the 28 of their papers we have counts for

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Showing 2025 · cs.ROShow all

6 papers · 2 filters

cs.RO2025★ 55 cited

Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications

Kento Kawaharazuka, Jihoon Oh, Jun Yamada +2

Amid growing efforts to leverage advances in large language models (LLMs) and vision-language models (VLMs) for robotics, Vision-Language-Action (VLA) models have recently gained s…

cs.RO2025

Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly

Alexander L. Mitchell, Joe Watson, Ingmar Posner

There are many challenges in bimanual assembly, including high-level sequencing, multi-robot coordination, and low-level, contact-rich operations such as component mating. Task and…

cs.RO2025

Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control

Jun Yamada, Adithyavairavan Murali, Ajay Mandlekar +3

Grasping of diverse objects in unstructured environments remains a significant challenge. Open-loop grasping methods, effective in controlled settings, struggle in cluttered enviro…

cs.RO2025

Is Single-View Mesh Reconstruction Ready for Robotics?

Frederik Nolte, Andreas Geiger, Bernhard Schölkopf +1

This paper evaluates single-view mesh reconstruction models for their potential in enabling instant digital twin creation for real-time planning and dynamics prediction using physi…

cs.RO2025

Task and Joint Space Dual-Arm Compliant Control

Alexander L. Mitchell, Tobit Flatscher, Ingmar Posner

Robots that interact with humans or perform delicate manipulation tasks must exhibit compliance. However, most commercial manipulators are rigid and suffer from significant frictio…

cs.RO2025

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping

Jun Yamada, Alexander L. Mitchell, Jack Collins +1

This paper addresses the challenge of occluded robot grasping, i.e. grasping in situations where the desired grasp poses are kinematically infeasible due to environmental constrain…