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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Newest papers, page 23
Information-Driven Collaborative Autonomy for Heterogeneous UAV/UGV Teams
This paper considers coordinating a heterogeneous team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) traversing a domain containing an unknown number of potentially…UMI-Live for In-The-Wild Bimanual Robotics Data Collection
Universal Manipulation Interface (UMI) devices allow human experts to demonstrate tasks for robot learning without teleoperating physical robots.Decoding Geometry, Not Tokens: Efficient VLMs for Robot Affordance and Trajectory Prediction
Predicting where to grasp and how to move is fundamentally a geometry problem.ScheduleGen: Demonstration Generation via Skill Scheduling for Multi-Arm Imitation Learning
Multi-arm robot platforms, including bimanual and humanoid robots, have the capability to complete tasks with lower cycle times than single-arm systems, but they are more difficult to safely control…Ask to Evolve: A Unified Harness for Lifelong Embodied Navigation with Hybrid Action Space and Persistent Memory
Giving embodied agents the freedom to act autonomously, initiate interactions, and understand their surroundings through experience is a step toward bringing them to life in the physical world.Smooth Action Chunking Via Movement-Primitive Representations for Imitation Learning
Imitation learning has become a widely adopted approach for vision-based robot policies, owing to its conceptual simplicity, scalability, and ability to leverage large-scale datasets.Kairos: Semantics-Aware Orchestration of Planning Engines across Classical, Numeric, Temporal and Hybrid PDDL
Planning at run time, as in robots that re-plan while they act, needs a planner that reads the PDDL its users write (durative actions, numeric resources, time windows, continuous change), answers…PRIME W0: Physical Priors from World Models for Embodied Manipulation
Vision-Language-Action (VLA) models excel at instruction following, yet most remain feed-forward: they condition actions only on the current observation and discard both long-horizon temporal…From Reasoning to Action: Consequence-Grounded Alignment for Vision-Language-Action Models
Reasoning informs decision-making by connecting intended actions with their expected consequences.Assuring Learning-Enabled Cyber-Physical Systems with Foundation Models: A Neuro-Symbolic Agenda for Testing, Verification, and Runtime Assurance
Learning-enabled cyber-physical systems (CPS), including autonomous vehicles and UAVs, increasingly incorporate foundation models, yet fragmented assurance practices provide insufficient support for…SimTO-Robust: Automated Design of Soft Grippers Robust to Grasp Pose and Object Geometry
Robotic grippers operating in unstructured environments must robustly grasp objects of different shapes and sizes despite perception and positioning errors.Kinematic-Tactile Aligned Dexterous Retargeting with Contact Wrench Space Alignment
Human demonstrations provide a natural and scalable source of data for learning dexterous manipulation policies.AI for Science in Space: Orbital Laboratories, Planetary Fieldwork, and Embodied Autonomy
Artificial intelligence for science (AI4S) is extending from interpretation of existing data to the design and execution of experiments.Smartphone Indoor Localization Enhanced by Hierarchical Multi-Sensor Context Recognition
Smartphone indoor localization requires low-cost, robust positioning across scene transitions and phone-use variations.AFast Robot Localization Method Based on Monte Carlo Sampling
Localization is an essential capability of intelligent robots.Teaching a Tree to Recover: Online Distillation of an LLM Supervisor with Counterfactual Replay
Autonomous mobile robots commonly pair a global planner with a local model predictive controller (MPC), but nonconvex obstacle avoidance and a limited horizon can make the robot freeze in complex…Data-Driven or Model-Constrained? Comparing Airflow Estimation Methods under Sparse Sensing
Airflow-driven advection is the primary mechanism for gas and aerosol dispersion in real-world scenarios, making accurate airflow estimation essential for ventilation monitoring, gas source…Surrogate Uncertainty for Black-box Visual Grounding
Visual grounding is crucial for robots to understand language instructions with visual observations.PASA-KV: Attacking Action-Facing Visual Routes in World Action Models
World action models (WAMs) increasingly couple internal visual or world representations with action generation, making their world-to-action pathways a critical yet poorly understood source of…Compressed Orientation Reachability Maps for Sub-Second Robotic Needle Entry Point Planning
In the context of multi-stage trajectory planning for robotic percutaneous liver interventions, identifying a kinematically feasible entry point remains a critical computational bottleneck.