5 papers
Not All Layers Need Tuning: Diagnosing and Directing Adaptation in Vision-Language-Action Models
Shahram Najam Syed, Arthur Jakobsson, Prayuj Sachdev +1
Fine-tuning a Vision-Language-Action (VLA) model for a new deployment environment is expensive, yet most methods apply uniform-capacity adapters to every network region as if every…
Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation
Shahram Najam Syed, Arthur Jakobsson, Haoran Hao +1
Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observation to an action and assume…
Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation
Arthur Jakobsson, Abhinav Mahajan, Karthik Pullalarevu +6
Many robotic tasks are unforgiving; a single mistake in a dynamic throw can lead to unacceptable delays or unrecoverable failure. We introduce Wiggle and Go!, a two-stage framework…
Adversarial Game-Theoretic Algorithm for Dexterous Grasp Synthesis
Yu Chen, Botao He, Yuemin Mao +7
For many complex tasks, multi-finger robot hands are poised to revolutionize how we interact with the world, but reliably grasping objects remains a significant challenge. We focus…
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
Shahram Najam Syed, Yatharth Ahuja, Arthur Jakobsson +1
Vision-Language-Action (VLA) models like OpenVLA demonstrate impressive zero-shot generalization across robotic manipulation tasks but struggle to adapt to specific deployment envi…