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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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1860 storiesWhat 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 …
X Square Robot brings its valuation to $2.8B with four consecutive funding rounds
X Square Robots' system combines foundation models, robotics hardware, a data pipeline system, and real-world deployments. The post X Square Robot brings its va…
Soft, robotic cells from morph embed physical AI into hardware
morph launched a physically intelligent soft robotics platform that designs and manufactures what it calls “soft robotic cells.” The post Soft, robotic cells fr…
Queue raises funding to build fully autonomous pharmacy
Queue is developing automated pharmacies to expand access to prescriptions in hospitals, retail sites, and underserved communities. The post Queue raises fundin…
Sonair ADAR One 3D ultrasonic sensor is now safety-certified
Sonair says ADAR One was assessed as a human detection sensor according to the IEC 61496 standard for electrosensitive protection devices. The post Sonair ADAR …
ReactiveBFM: Reactive Closed-Loop Motion Planning Towards Universal Humanoid Whole-Body Control
arXiv:2606.30362v1 Announce Type: new Abstract: While current Behavior Foundation Models (BFMs) provide robust control priors for humanoids, they only execute p…
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
arXiv:2512.23864v4 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have shown remarkable generalization by mapping web-scale knowledge to r…
A Unified Framework for Multi-Contact Path Planning in the Rolling Robot Systems
arXiv:2606.29065v1 Announce Type: new Abstract: Rolling motion planning is challenging because rolling contact imposes nonholonomic constraints and the configur…
LAMP: Long-Horizon Adaptive Manipulation Planning for Multi-Robot Collaboration in Cluttered Space
arXiv:2606.29358v1 Announce Type: new Abstract: Multi-robot manipulation requires jointly reasoning about contact formations, robot motions under coupled dynami…
Behavior Prompting Policy: Demonstrations as Prompts for Manipulation
arXiv:2606.30457v1 Announce Type: new Abstract: We study behavior prompting, a paradigm that enables robots to perform new tasks at inference time given a singl…
Real-Time Compliance and Position Control of a Hyper-redundant Soft Robotic Arm
arXiv:2606.29731v1 Announce Type: new Abstract: Robots working in unstructured or partially unobservable environments must combine accurate motion with physical…
Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty
arXiv:2605.26627v2 Announce Type: replace-cross Abstract: Deploying reinforcement learning in safety critical domains, from autonomous vehicles to medical decis…
GROW$^2$: Grounding Which and Where for Robot Tool Use
arXiv:2606.30632v1 Announce Type: new Abstract: Can the robot use a plate to cut a cake if no knife is available? Tool use greatly expands robot capabilities, b…
See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming
arXiv:2603.08057v2 Announce Type: replace Abstract: Programming by demonstration (PbD) makes robot programming accessible to non-experts, but scaling it to real…
Eval-Actions: Fine-Grained Execution Quality Evaluation for Robotic Manipulation
arXiv:2601.18723v2 Announce Type: replace Abstract: Although Vision--Action (VA) and Vision--Language--Action (VLA) policies have advanced robotic manipulation,…
CAR: Cross-Vehicle Kinodynamics Adaptation via Mobility Representation
arXiv:2603.06866v3 Announce Type: replace Abstract: Developing autonomous mobile robot systems typically requires either extensive, platform-specific data colle…
Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation
arXiv:2606.22471v2 Announce Type: replace Abstract: A key bottleneck in training generalist policies for bimanual dexterous manipulation is the lack of large-sc…
STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning
arXiv:2606.29834v1 Announce Type: new Abstract: Real-world robot learning increasingly relies on heterogeneous data, but demonstrations and rollouts often mix u…
An Operator-Based Approach to STL
arXiv:2605.28092v2 Announce Type: replace Abstract: Signal Temporal Logic (STL), has recently seen extensive development, owing to its rich expressivenes for au…
Analyzing Uncertainty in the Spatial Representation of the Kinematic Bicycle Model
arXiv:2606.29566v1 Announce Type: new Abstract: Locating a vehicle and determining its orientation in an uncertain environment is a critical challenge in autono…
VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
arXiv:2606.30645v1 Announce Type: new Abstract: Perception-based humanoid loco-manipulation requires connecting egocentric observations and task instructions to…
Hierarchical Policy Learning via Spectral Decomposition
arXiv:2606.29570v1 Announce Type: new Abstract: In this paper, we identify a semantic decomposition in robot action sequences, separating task-level motion inte…
CORE Planner: Contextual-memory Oriented Reinforcement-learning in Unknown Environments for Robot Navigation
arXiv:2606.29222v1 Announce Type: new Abstract: Autonomous navigation in unknown environments requires a robot to efficiently reach a predefined goal while expl…