GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation
cs.RO, cs.LG
Submitted: 2026-09-25
Updated: 2026-09-25
Project page: https://ivaniz.github.io/gt-vla
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
- Stable Language Guidance for Vision-Language-Action Models
- AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots
- Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
- Robotic Control via Embodied Chain-of-Thought Reasoning
- ReSteer: Quantifying and Refining the Steerability of Multitask Robot Policies
- Long-Horizon Manipulation via Trace-Conditioned VLA Planning
- From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
- SAM 3: Segment Anything with Concepts
- Bridging VLM and KMP: Enabling Fine-grained robotic manipulation via Semantic Keypoints Representation
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
- MolmoAct: Action Reasoning Models that can Reason in Space
- LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
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