Embodied Robotics Research

Tag: test-time-adaptation

24 items with this tag.

Oct 06, 2026
Adapting Vision-Language-Action Models to Unknown Visual Disruptions During Execution
Sep 28, 2026
PreferenceFlow: Test-Time Guidance of Flow-Matching Robot Policies from Human Interventions
Sep 28, 2026
Scouting the Dynamics Gap: Test-Time Policy Adaptation via Action-Outcome Feedback
Sep 28, 2026
Test-Time Adaptation of Manipulation Policies Under Actuator Degradation
Sep 24, 2026
Self-Adaptive VLA for Robust Robot Deployment
Sep 24, 2026
World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal
Aug 26, 2026
RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation
Aug 25, 2026
Skild AI: Introducing S1 — In-Context Learning for Robotics
Aug 14, 2026
Imagining Recovery: Inference-Time Counterfactual Realignment for Vision-Language-Action Models
Aug 05, 2026
Retrieve in Time, Correct in Frequency (RTCF)
Aug 01, 2026
StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models
Jul 15, 2026
RoboTTT: Context Scaling for Robot Policies
Jul 14, 2026
Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents
Jul 09, 2026
FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space
Jul 07, 2026
PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation
Jul 06, 2026
Learning From History: Test-Time Verification and Adaptation for Robotics (HAVE)
Jul 03, 2026
DreamSteer: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning
Jul 01, 2026
FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement
Jun 18, 2026
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time
Jun 12, 2026
EWAM: An Enhanced World Action Model for Closed-Loop Online Adaptation in Embodied Intelligence
Jun 05, 2026
Retrieval-VLA: Training-Free In-Context Adaptation for Vision-Language-Action Models
Jun 01, 2026
From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
May 20, 2026
Feedback World Model Enables Precise Guidance of Diffusion Policy
May 10, 2026
Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs

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