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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CARVS: A Congestion-Aware Algorithm for Online Multi-Agent Pickup-and-Delivery in Human-Collaborative Warehouses
Intelligent warehouse systems have transformed logistics by integrating robots with minimal infrastructure changes, boosting efficiency and optimizing workflows compared to traditional human-only…SocialCoAct: Enabling and Benchmarking Egocentric Social Co-Action for VLM-Based Humanoid Robots
Enabling humanoid robots to participate effectively in social interactions is important for their integration into human-centered environments.Retrieval-triggered Action Projection Adjustment for Frozen VLA Policies: An Empirical Study and Failure Analysis
Frozen Vision-Language-Action (VLA) policies cannot incorporate previously encountered failures without updating the underlying model.LIBERO-Dynamic: Benchmarking Robotic Manipulation in Dynamic Environments
Most simulation benchmarks for robotic manipulation keep target objects static and treat policy inference as instantaneous.LIBERO-Pro2.0: A Benchmark for Evaluating the Robustness of Embodied Foundation Models
LIBERO has emerged as a widely adopted benchmark for evaluating robotic manipulation policies.Scene-Adaptive VLA: Efficient Autonomous Driving via Dynamic Layer Routing
Vision-Language-Action (VLA) models offer a promising paradigm for autonomous driving.Refuse the Harm, Complete the Task via Graph-of-Rules Planning for LLM-Enabled Robots
Large Language Models (LLMs) are increasingly used in embodied AI for robotic manipulation and planning, but their deployment in physical systems exposes vulnerabilities such as jailbreak attacks…RoMo-GS: Efficient Online 3D Gaussian Splatting for Robot Mapping via Exposure-Integrated Motion Blur
Online 3D Gaussian Splatting (3DGS) is emerging as a practical way to build a representation for robotics applications.Solving a Giant Rubik's Cube with a Quadruped Robot
Pedipulating a freestanding articulated object requires controlling its pose and internal configuration while maintaining balance.Noise-Invariant Spatial Encoding for 3D Manipulation Policies under Depth Corruption
3D manipulation policies derive actions from explicit scene geometry rather than color images alone, enabling them to reason over metric distances, object relations, and robot-scene reachability.Action-Aligned Latent Planning for Versatile Humanoid Loco-Manipulation
Learning a single perceptive policy for diverse humanoid loco-manipulation requires unifying high-level task decisions without losing the state-dependent physical responses that make each…Relational Spatial Alignment for Vision-Language-Action Models
Spatial understanding is essential for robots to perceive their surrounding environments and execute actions.EndoVLA-OOV: Language-Conditioned Out-of-View Target Acquisition in Robotic Endoscopy
The scan-then-revisit workflow of upper gastrointestinal endoscopy requires bringing a previously observed suspicious region back into view for closer inspection.Learning Structured Locomotion References for Optimization-Based Whole-Body Control
Quadruped locomotion requires coordinating body motion,contact forces, foothold placement, and gait timing.When Better Policies Leave Harder Failures: Coverage Shift in VLM Success Monitoring
Can a better robot policy become harder to monitor?SARAM: Sparse Adapter Allocation with Reuse and Merging for Lifelong Robot Learning
Lifelong robot learning requires acquiring new tasks sequentially without forgetting earlier ones.Escape Without a Recipe: Maneuver-Agnostic Mars Rover Recovery from Granular Entrapment
Wheeled planetary rovers immobilised in loose regolith have no principled recovery controller: scripted maneuvers are terrain-specific, and naive driving deepens entrapment.DiPLO: Self-distilled Diffusion Planning for Loco-manipulation
Humanoid loco-manipulation is particularly challenging because it requires coordinating locomotion, balance, and object interaction, making it difficult to learn from limited demonstrations or from…Anticipatory Gait Switching for Quadrupeds via Look-Ahead MDP Planning
Quadruped robots often switch gaits to traverse mixed terrain safely.Steerable Pluralistic Policy Alignment from Anonymized Crowd Feedback
Pluralistic alignment requires AI systems to learn from diverse populations whose preferences may reflect heterogeneous or even conflicting objectives, and to personalize their behavior to…