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 27
What Should a Navigator Remember? Spatiotemporal Memory for Zero-Shot Vision-Language Navigation
Zero-shot vision-and-language navigation (VLN) requires an agent to use past observations without navigation-specific training.Proprioceptive Finger Force Estimation for Reliable Box Manipulation
Reliable box manipulation requires successful placement without damage, which depends on maintaining sufficient contact force without excessive loading.CSO: Refining Robotic Policies via Skill Distribution Alignment and Skill-Grained Optimization
Discretizing continuous actions into discrete skills using methods like VQ-VAE has emerged as a powerful paradigm for robotic manipulation.ELEVATE: Agentic Controller Acquisition from Task Failure for Quadrupedal Manipulation
Quadrupedal manipulators can extend their workspace through whole-body interaction, but task-planning agents' capabilities remain limited by their available controllers.When "No Worries" Went Wrong: HRI Lessons for Foundation-Model Robots
When a person declined our robot's invitation to play, Alice turned her shoulder away and said "No worries, it's all good.SpaceAct: Benchmarking 3D Spatial and Temporal Reasoning via Closed-Loop Action and Active Perception
To solve problems in 3D space rather than merely describe images, multimodal large language models (MLLMs) need 3D spatiotemporal reasoning: reconstructing 3D geometry from occluded 2D views…Skeleton-Guided Geometry-Aware Auto-Labeling for Robotic Grasping: From 4-DoF Learning to 6-DoF Execution
Robotic grasping relies on large manually annotated datasets, which are costly to create.OmniQuad: a Wheeled-Legged Hybrid Robot with Omnidirectional Wheels
Combining wheeled and legged locomotion within a single robotic platform offers the potential to harness the advantages of both systems.SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control
Joint-embedding predictive architectures (JEPAs) learn to predict representations rather than pixels, offering a compact way to model how visual scenes evolve.Force-Driven Hook Disassembly via Constraint-Aware Object-Centric Reinforcement Learning
The growing volume of end-of-life products has intensified the need for automated disassembly, yet hook-type connections remain challengin: their orientations vary, they deform under load, and their…Influence of Agent Number and Behavior on Users' Psychological Responses in VR Evacuation Training
This study aims to build effective drill software by combining a virtual simulation of a disaster with multiple agents capable of expressing emotions.A Multi-Layer Navigation System for Smart Wheelchairs with a Limited Input Interface
Smart wheelchairs are robotic devices that gather information from the surroundings and allow people to safely drive through various environments.TRIM: Temporal Run-Time Monitoring of 3D Object Detection via Activation Statistics
Reliable perception is essential to intelligent transportation systems, yet deep neural networks can silently miss safety-critical objects while continuing to produce apparently plausible outputs.The Reality Gap in Automated Driving Systems Testing: Landscape, Challenges, and Research Directions
Simulation is essential for testing automated driving systems (ADS), but discrepancies between simulation and reality can undermine testing conclusions.Explore Where It Matters: Targeted Exploration for Efficient Rover Adaptation
Future planetary rovers will traverse steep, deformable terrain where slip, sinkage, and terrain deformation can threaten mobility.Quantize by Doing: Task-Guided Mixed-Precision Quantization of Vision-Language-Action Models
Post-training quantization (PTQ) reduces the memory footprint of vision-language-action (VLA) models, but lowering bit widths while maintaining task performance remains challenging.Value Function-Guided MPPI for Hierarchical Planning and Control in Off-Road Autonomous Navigation
Autonomous navigation in off-road terrain is commonly achieved using hierarchical control and planning architectures that rely on explicit cost maps and one-way information flow from a high-level…AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs
Embodied instruction following in interactive environments requires agents to interpret natural language commands and complete long-horizon tasks.Inertial Steering and Motion Prediction of Tracked Vehicles on Low-Adherence Surfaces
Tracked vehicles are widely used in off-road applications, but their conventional motion models often rely on no-slip assumptions that become inaccurate on low-adherence surfaces.Selective Sliding Mode Control Enhances Robustness of Aerial Robots Under Disturbances
Quadrotor control under disturbances such as wind gusts and payload variations remains challenging.