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Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
Daily robotics industry news: humanoids, industrial automation, drones, autonomous systems and the companies building them.
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2482 storiesTowards Generalizable Robotic Manipulation in Dynamic Environments
arXiv:2603.15620v3 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models excel in static manipulation but struggle in dynamic environments …
ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
arXiv:2606.31132v1 Announce Type: new Abstract: Generative control policies (GCPs), such as diffusion policies and flow-based vision-language-action models, ena…
3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance
arXiv:2606.31329v1 Announce Type: new Abstract: Hierarchical Vision-Language-Action (VLA) models decouple high-level planning from low-level control to improve …
FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion
arXiv:2606.31691v1 Announce Type: new Abstract: Scalable reinforcement learning has popularized high-throughput sampling architectures, which significantly comp…
GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping
arXiv:2606.30809v1 Announce Type: cross Abstract: Existing 3D Gaussian Splatting (3DGS) systems distribute representation capacity uniformly across a scene, ign…
Robust Autonomous UAV Landing on Maritime Platforms via Multimodal Agentic AI and Active Wave Compensation
arXiv:2606.31613v1 Announce Type: cross Abstract: Autonomous aerial inspection of marine infrastructure is frequently compromised by stochastic sea states, intr…
The Quadruped Soft Tail: Compliant Grasping and Swabbing for Contamination Surveys in Harsh Environments
arXiv:2606.30900v1 Announce Type: new Abstract: Beryllium contamination surveys in radioactive areas are challenging for robots in environments cluttered with c…
DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation
arXiv:2606.32028v1 Announce Type: new Abstract: Video-based embodied world models provide an appealing substrate for robotic manipulation by predicting future s…
Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
arXiv:2510.09204v4 Announce Type: replace Abstract: Centralized trajectory optimization in the joint space of multiple robots allows access to a larger feasible…
MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning
arXiv:2606.31073v1 Announce Type: cross Abstract: Large language models (LLMs) provide a promising interface for high-level robotic task planning, but their use…
Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation
arXiv:2602.08557v2 Announce Type: replace Abstract: Training non-prehensile manipulation policies in contact-rich settings is a core challenge in robotics. Whil…
Motion Planning in Compressed Representation Spaces
arXiv:2606.30940v1 Announce Type: new Abstract: Deep learning methods have vastly expanded the capabilities of motion planning in robotics applications, as lear…
Freeform Preference Learning for Robotic Manipulation
arXiv:2606.32027v1 Announce Type: new Abstract: Reward design remains a central bottleneck for autonomous robot policy improvement, especially in long-horizon m…
Continuous-Space Roadmap Generation for Mobile Robot Fleets with Distance Constraints and Geometry-Aware Discretization
arXiv:2511.07175v2 Announce Type: replace Abstract: Efficient routing of mobile robot fleets requires roadmaps with high redundancy, short path lengths, and suf…
Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments
arXiv:2606.32009v1 Announce Type: new Abstract: Vision-language-action (VLA) models across robot embodiments require high-quality observation--action supervisio…
Adapting Generalist Robot Policies with Semantic Reinforcement Learning
arXiv:2606.31958v1 Announce Type: new Abstract: Generalist robot policies learn a diverse repertoire of behaviors from large-scale pretraining. In principle, th…
A Scalable Whole-body Motion Transfer via Implicit Kinodynamic Motion Retargeting
arXiv:2509.15443v2 Announce Type: replace Abstract: Human-to-humanoid imitation learning presents a promising pathway to address the severe data scarcity bottle…
Receptogenesis in a Vascularized Robotic Embodiment
arXiv:2603.09473v3 Announce Type: replace Abstract: Equipping robotic systems with the capacity to generate $\textit{ex novo}$ hardware during operation extends…
Scenario Generation for Testing of Autonomous Driving Systems Using Real-World Failure Records
arXiv:2606.31131v1 Announce Type: cross Abstract: To ensure safe on-road behavior, pre-deployment testing and failure discovery of Autonomous Driving Systems (A…
E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
arXiv:2604.04834v2 Announce Type: replace-cross Abstract: Robotic Vision-Language-Action (VLA) models generalize well for open-ended manipulation, but their per…
LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior
arXiv:2603.25399v2 Announce Type: replace-cross Abstract: We introduce \textbf{LaMP}, a dual-expert Vision-Language-Action framework that embeds dense 3D scene …
Vision-Language Procedural Reasoning for Context-Aware Reward Modeling of Robotic Endovascular Guidewire Navigation
arXiv:2606.30698v1 Announce Type: new Abstract: Robotic-assisted endovascular interventions demand accurate, stable, and context-aware guidewire navigation in c…
What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning
arXiv:2606.31106v1 Announce Type: new Abstract: Large-scale datasets and fast simulators have enabled improvements in driving policies that appear safe and robu…
UniTacVLA: Unified Tactile Understanding and Prediction in Vision Language Action Models
arXiv:2606.31723v1 Announce Type: new Abstract: Vision-language-action (VLA) models have achieved strong performance in many robotic manipulation tasks, yet rem…
Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation
arXiv:2606.31043v1 Announce Type: cross Abstract: Residual reinforcement learning adapts a pretrained robot policy by learning an additive correction to its act…
Information-Aided DVL Calibration
arXiv:2606.31216v1 Announce Type: new Abstract: The Doppler velocity log (DVL) velocity measurements are critical to the accuracy of autonomous underwater vehic…
RoboTacDex: A Dexterous Visual-Tactile-Action Dataset for Humanoid Manipulation
arXiv:2606.31836v1 Announce Type: new Abstract: In the field of robot learning, large-scale and diverse demonstration trajectories provide the fundamental basis…
Communication-Aware Robot Execution for Cloud Inference under Spatially Heterogeneous Connectivity
arXiv:2606.31497v1 Announce Type: new Abstract: Cloud-hosted foundation models enable robots to use semantic reasoning beyond onboard computational limits. In t…
Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory
arXiv:2504.04991v5 Announce Type: replace Abstract: Conventional visuomotor imitation learning usually predicts future robot actions directly in the time domain…
A Modular Vision-Language-Action Robotics Framework for Indoor Environments
arXiv:2606.31144v1 Announce Type: new Abstract: This paper presents an integrated system for the CMU Vision-Language-Action (VLA) Challenge, designed to enable …