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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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2480 storiesRAVEN: Long-Horizon Reasoning & Navigation with a Visuo-Spatio-Temporal Memory
arXiv:2606.25206v1 Announce Type: new Abstract: Long-term robot deployment requires a compact and scalable memory that preserves fine-grained visual semantics, …
WaveForward: An Omnidirectional Passive Wheeled Quadruped Robot with Casters
arXiv:2606.25299v1 Announce Type: new Abstract: Wheeled-legged robots possess both agile mobility for traversing complex terrains and high efficiency, making th…
Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding
arXiv:2606.25160v1 Announce Type: new Abstract: The rapid rise of Vision-Language Models (VLMs) in egocentric visual understanding has made low-latency inferenc…
Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios
arXiv:2606.25386v1 Announce Type: new Abstract: By maintaining global consistency across robot teams, multi-robot LiDAR map merging enables faster exploration a…
PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking
arXiv:2603.19305v2 Announce Type: replace Abstract: Humanoid robots are expected to execute agile and expressive whole-body motions in real-world settings. Exis…
Decoupling Semantics and Geometric Grounding: Spatial Visual Prompts for Language-Conditioned Imitation Learning
arXiv:2606.25360v1 Announce Type: new Abstract: While end-to-end Vision-Language-Action (VLA) models show promise in robotic manipulation, their monolithic para…
ZeroWBC: Learning Natural Whole-Body Humanoid Interaction from Human Egocentric Data
arXiv:2603.09170v3 Announce Type: replace Abstract: Achieving versatile and natural whole-body humanoid interaction control remains challenging due to the high …
Learning Asynchronous Upper-body Task-space Trajectory Tracking Policy for Humanoid Robots
arXiv:2606.25706v1 Announce Type: new Abstract: High-level humanoid planners often output sparse task-space, low-rate trajectories, whereas whole-body controlle…
MAPL: Multi-Objective Preference Learning for Robot Locomotion
arXiv:2606.25398v1 Announce Type: new Abstract: Reward design remains a major bottleneck in reinforcement learning for robot locomotion, where successful polici…
In-Context World Modeling for Robotic Control
arXiv:2606.26025v1 Announce Type: new Abstract: Modern Vision-Language-Action (VLA) models often fail to generalize to novel setups, such as altered camera view…
AISPO: Enhancing Depth Reliability for Robotic Manipulation of Non-Lambertian Objects via Affine-Invariant Shape Prior
arXiv:2606.25503v1 Announce Type: new Abstract: Reliable depth perception is critical for robotic manipulation, especially for non-Lambertian objects such as tr…
Generative AI for Safe and Photorealistic Drone Light Shows
arXiv:2606.25458v1 Announce Type: new Abstract: Drone light shows are redefining aerial entertainment, yet their widespread adoption is bottlenecked by labor-in…
Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control
arXiv:2606.25136v1 Announce Type: new Abstract: General-purpose robots operating in partially observable environments, such as homes, require memory to support …
ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving
arXiv:2606.25509v1 Announce Type: new Abstract: Large language models (LLMs) can improve autonomous driving planning but are costly to query online, and existin…
ARTOO-DARTU: Studying AR-HRC With AR Obstruction Mitigation During a Warehouse Task
arXiv:2606.25202v1 Announce Type: cross Abstract: Human-robot collaboration (HRC) often requires robot intentions and internal states to be conveyed to users fo…
AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
arXiv:2606.25337v1 Announce Type: new Abstract: AI copilots can substantially boost human performance through shared control, but excessive assistance can induc…
One Body, Two Minds: Variable Autonomy Approach for a Co-embodied Robotic Hand
arXiv:2606.25575v1 Announce Type: new Abstract: Assistive robotic systems face a fundamental trade-off: fully autonomous systems lack user agency, while fully u…
Learning Action Priors for Cross-embodiment Robot Manipulation
arXiv:2606.26095v1 Announce Type: new Abstract: Most Vision-Language-Action (VLA) models build on a Vision-Language Model (VLM) backbone by attaching an action …
MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models
arXiv:2606.24815v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models are emerging robotic control systems that integrate perception, language u…
GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation
arXiv:2606.25504v1 Announce Type: new Abstract: Pedestrian simulation is a critical component for training and deploying social robot navigation approaches, yet…
WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning
arXiv:2606.25591v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently demonstrated strong generalization in robotic manipulation, ye…
RGB: RL Guided Whole-Body MPPI for Humanoid Control
arXiv:2606.25123v1 Announce Type: new Abstract: Humanoid robots require whole-body controllers that are both robust and precise in contact-rich environments. Wh…
Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm
arXiv:2606.26048v1 Announce Type: new Abstract: Soft robots are challenging to control due to their nonlinear and time-varying dynamics. Data-enabled predictive…
Beyond Topology: A Morphological Symmetry Graph Representation for Locomotion Policy Learning
arXiv:2512.00727v2 Announce Type: replace Abstract: Reinforcement learning has enabled impressive locomotion skills on articulated robots, but common policy rep…
Reflective VLA: In-Context Action Consequences Make VLAs Generalize
arXiv:2606.25215v1 Announce Type: cross Abstract: Most vision-language-action (VLA) models are reactive: they predict the next action from the current instructi…
SurveilNav: Collaborative Object Goal Navigation with Robot and Surveillance System
arXiv:2606.25119v1 Announce Type: new Abstract: With the growing deployment of surveillance systems in factories, offices, and homes, integrating them with robo…
Self Capacitive Tactile Sensor System designed for Companion Robots
arXiv:2606.25348v1 Announce Type: new Abstract: Tactile sensing is essential for humanoid robots to achieve safe physical interaction, dexterous manipulation, a…
Event-Adaptive Motion Planning with Distilled Vision-Language Model in Safety-Critical Situations
arXiv:2606.25629v1 Announce Type: new Abstract: Robot navigation in safety-critical scenarios faces significant challenges from unforeseen semantic events, wher…
From Rubble Simulation to Active Magnetic Mapping: Quantum Sensing for Disaster Response
arXiv:2606.25957v1 Announce Type: new Abstract: Locating survivors of building collapses within the first 72 hours is a critical challenge in disaster response,…
Action ControlNet: A Lightweight Delay-Aware Adapter for Smooth Asynchronous Control in Vision-Language-Action Models
arXiv:2606.25985v1 Announce Type: new Abstract: Vision-language-action (VLA) models have shown strong potential for general-purpose robot manipulation, but thei…