Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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RAFT: Reasoning-Aligned Fine-Tuning Improves Robustness of VLA Post-Training
Adapting a generalist vision-language-action (VLA) policy to a target task with limited demonstrations can improve nominal task success while reducing robustness to variations in appearance…Aero-VPA: Few-Step Flow-Matching Control over Non-Reconstructive JEPA Latents for Agile Flight on Edge Hardware
Vision-Language-Action (VLA) models generalize across tasks, but their autoregressive decoders need sequential forward passes in proportion to the action horizon, each bounded below on embedded…ReflexArc: Bottom-Up Integration of Instantaneous Tactile Reflexes into Whole-Body Humanoid Control
Humanoid robots operating in cluttered environments must react to unexpected contacts before the first impact peak, which arrives within tens of milliseconds.Spectrally Routed Diffusion Policy for Multi-Task Robotic Manipulation
Diffusion-based policies have achieved strong performance on single-task robotic manipulation.All-For-One: Distilling Visual Foundation Models to a Fast, Memory-Efficient Visuomotor Policy
Visual Foundation Models (VFMs) provide semantic cues such as depth and segmentation useful for robotic manipulation, but directly deploying them in closed-loop control is impractical due to high…Hybrid Particle-Voxel Dynamics for Multimodal 3D World Simulation
Predicting how the world evolves in response to robot actions is central to policy learning, evaluation, and planning.Physical Diffusion Policy via MPM-Guided 3D Gaussian Simulation
Learning robust manipulation policies for diverse everyday objects remains challenging because objects with different materials exhibit distinct deformation and contact dynamics.LLM-Assisted Planning with Distributed Onboard Behaviour Tree Execution for Multi-AUV Missions
Coordinating autonomous underwater vehicles requires translating operator intent into feasible assignments while preserving autonomous execution when communication is limited.Action Intent as a Bridge: Transferring Manipulation Knowledge from Human-Centric Videos to Robots
Vision-Language-Action (VLA) models have achieved promising performance for generalized robotic manipulation, yet their reliance on expensive real-robot data remains a fundamental bottleneck.Future Representation Distillation for Imagination-free World Action Models
World Action Models (WAMs) use the predictive knowledge of pretrained video diffusion models for robot control through future video prediction.Just Between Us? Exploring a Wearable-Mediated Channel for Discreet Human-Agent Interaction in a Shared Game Setting
In shared settings, social robots may need to exchange information with an individual while limiting co-present others' access to or interpretation of that information.CLARA: A Cognitively-Driven Clarification Framework for Grounding Ambiguous Requests
Robotics and AI systems are increasingly deploying large vision-language models (LVLMs) to follow high-level instructions, from routine household chores to more complex organizational tasks.Cycle WAM: Coupling Action and Video through Cycle Consistency
Recent advances in video modeling have driven substantial progress in world action models (WAMs).Mass Scaling Laws for Energy-Optimal Horizontal Multirotor Flight
Multicopters are a type of aerial robot seeing extensive real-world applications but with range and endurance as critical bottlenecks.iMED: A Multi-Endoscope Dataset for Surgical 3D Perception
We introduce iMED, the first synchronized multi-endoscope dataset for robot-assisted minimally invasive surgery (RAMIS), designed to address a fundamental limitation in surgical vision benchmarking…Coordinating Humanoid Loco-Manipulation through Action-Conditioned Latent Foresight
Humanoid loco-manipulation requires coordinated body motion and hand interaction over time, and a plausible-looking command sequence can still drop a held object or leave an interaction incomplete.PrimeSim: A Generalist World Model Simulator from Large-Scale Cross-Embodiment Demonstrations
A robot world model that serves as a simulator must do more than generate plausible videos: it must faithfully follow commanded actions, maintain consistency across camera views, and sustain…Physics-Based Plausibility Assessment of AI-Predicted Vehicle Parameters for Automotive Radar in Pre-Crash Scenarios
Automotive radar is a key sensing modality for safety-critical vehicle functions due to its robustness under adverse weather and lighting conditions.Trusting Imagined Futures: Auditing Imagined Rewards for VLA Post-Training
Video world models enable candidate actions to be evaluated through imagined outcomes, but high predicted rewards can favor trajectories with poor execution quality.Safeguarding Multi-Agent Reinforcement Learning for Connected and Automated Vehicles with Recursively Feasible Control Barrier Functions
Multi-Agent Reinforcement Learning (MARL) shows promise in coordinating connected and automated vehicles but offers no safety guarantee.