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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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1858 storiesVG3S: Visual Geometry Grounded Gaussian Splatting for Semantic Occupancy Prediction
arXiv:2603.06210v2 Announce Type: replace-cross Abstract: 3D semantic occupancy prediction has become a crucial perception task for comprehensive scene understa…
Clinical Pathways as Safety Specifications for Physical AI in Hospital Wards
arXiv:2607.19827v1 Announce Type: new Abstract: Ensuring safety in Physical AI systems operating in real-world environments is a critical challenge, particularl…
NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation
arXiv:2607.19695v1 Announce Type: new Abstract: Robots deployed in delivery, campus, and emergency-response settings often need to navigate from buildings to st…
Courteous Anticipation: Improving Long-Lived Task Planning in Persistent Shared Environments
arXiv:2607.20289v1 Announce Type: new Abstract: We consider a task planning scenario in which robots sharing a persistent environment are assigned tasks one at …
LENS: LLM-guided Environment Simplification for Planning and Control in Clutter
arXiv:2607.19633v1 Announce Type: new Abstract: Despite recent advances in general-purpose robotic manipulation, real-world multi-object clutter remains challen…
Emergent Autonomous Drifting for Collision Avoidance in Real-World Winter Driving Scenarios
arXiv:2607.19484v1 Announce Type: new Abstract: Real-world collision avoidance is a core motivation for studying the dynamics and control of high sideslip drift…
Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction
arXiv:2607.19919v1 Announce Type: new Abstract: We propose Diffusion ReRoll, a diffusion-based framework for robotic sequential prediction that enables revisabl…
Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning
arXiv:2605.31119v2 Announce Type: replace Abstract: In robotics, dangers and adversity modes are often embodiment-specific and relative to each agent. A frontie…
Physical AI and Robotics
The State of Physical AI and Robotics While robotics developers have used artificial intelligence for years, the past few years have seen a fundamental shift in…
Medtronic to launch AI compute platform for the operating room
Touch Surgery bridges pre-operative planning and training, intra-operative tele-mentoring and tele-proctoring, and post-operative insights. The post Medtronic t…
Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
arXiv:2607.19190v1 Announce Type: new Abstract: Real-to-sim conversion for robotic interaction with objects remains labor-intensive because it requires more tha…
Toward Learning POMDPs Beyond Full-Rank Actions and State Observability
arXiv:2601.18930v4 Announce Type: replace-cross Abstract: We are interested in enabling autonomous agents to learn and reason about systems with hidden states, …
Computing on the Fly: Navigating a Vision for the Future of Drone Computing
arXiv:2607.19213v1 Announce Type: new Abstract: The report envisions a decade in which drones move goods, medical supplies, and information at a scale comparabl…
The Open Ant: A Robot Platform for Reinforcement Learning Research
arXiv:2607.18488v1 Announce Type: new Abstract: Reinforcement learning (RL) research has demonstrated success in both physical and simulated domains; however, t…
Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics
arXiv:2607.18540v1 Announce Type: cross Abstract: Robotic perception pipelines increasingly rely on large vision backbones deployed on SWaP-constrained edge pla…
Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency
arXiv:2607.19194v1 Announce Type: new Abstract: High-level planning for autonomous driving is a knowledge-intensive engineering decision task that requires accu…
Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing
arXiv:2602.06925v3 Announce Type: replace Abstract: Autonomous drone racing pushes the boundaries of high-speed motion planning and multi-agent strategic decisi…
Correct-by-Construction Behavior Tree Synthesis from Signal Temporal Logic Specifications with Application to Robotic Missions
arXiv:2607.18731v1 Announce Type: new Abstract: Behavior Trees (BTs) are widely adopted for complex task execution in robotics, providing modular, reactive cont…
Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing and Descending for Indoor Firefighting: An End-to-End Reinforcement Learning Approach
arXiv:2602.03087v2 Announce Type: replace Abstract: Quadruped robots are used for primary searches during the early stages of indoor fires. A typical primary se…
WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes
arXiv:2601.06442v2 Announce Type: replace-cross Abstract: Point Cloud-based Place Recognition (PCPR) demonstrates considerable potential in applications such as…
Robust Co-design Optimisation for Agile Fixed-Wing UAVs
arXiv:2603.11130v2 Announce Type: replace Abstract: Co-design optimisation of autonomous systems has emerged as a powerful alternative to sequential approaches …
End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation
arXiv:2607.18637v1 Announce Type: new Abstract: Generating closed-loop traffic scenarios that are both realistic and controllable is crucial for evaluating auto…
Uncertainty-Aware Multi-Robot Task Allocation With Strongly Coupled Inter-Robot Rewards
arXiv:2509.22469v3 Announce Type: replace Abstract: Allocating tasks to heterogeneous robot teams in environments with uncertain task requirements is a fundamen…
From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs
arXiv:2607.19306v1 Announce Type: new Abstract: Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and pl…
RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment
arXiv:2602.01515v2 Announce Type: replace Abstract: Deploying learned control policies is risky because policies that appear robust in simulation can confidentl…
Fly, Track, Land: Infrastructure-less Magnetic Localization for Heterogeneous UAV-UGV Teaming
arXiv:2603.08926v2 Announce Type: replace Abstract: Persistent air ground robot teams require nano UAVs that can leave a mobile UGV, perform short scouting or i…
Masked Visual Actions for Unified World Modeling
arXiv:2607.19343v1 Announce Type: cross Abstract: Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making th…
CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly
arXiv:2603.08560v2 Announce Type: replace Abstract: Robotic disassembly involves contact-rich interactions in which successful manipulation depends not only on …
WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory
arXiv:2607.18840v1 Announce Type: new Abstract: World Action Models (WAMs) offer a promising paradigm for robotic manipulation by jointly modeling visual state …
RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation
arXiv:2508.21378v2 Announce Type: replace Abstract: Large language models (LLMs) demonstrate remarkable capabilities in reasoning and code generation, enabling …