Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 195
UMI-Bridge: Action-Anchored Latent Alignment across Human and Robot Manipulation Data
Real-robot demonstrations are limited, motivating the use of human manipulation data collected without robots, including egocentric videos and handheld Universal Manipulation Interface (UMI)…ForceDelta-VLA: Distilling Force-Conditioned ActionCorrections for Contact-Rich Manipulation
Force-aware Vision-Language-Action (VLA) policies improve contact-rich manipulation, but typically combine task-level motion and contact-dependent adjustment in a single action prediction.Acting in Meters: Learning Metric Interactions for Precise Robotic Manipulation
Vision-Language-Action models and World-Action Models have advanced language-conditioned robotic manipulation, yet often leave metric relations among actions, objects, and scene geometry implicit.A3P5 NEMESIS Integrated Rover Design for Environmental Reconnaissance and Robotic Sampling with Reproducible Mobility Analysis and an External Data Machine Learning Calibration Benchmark
A3P5 NEMESIS is a four-wheel rover intended to combine remote inspection, environmental observation and lightweight manipulation within one serviceable platform.M2Tok: Multi-head Multi-codebook Discrete Action Tokenization for Vision-Language-Action Models
Recent advancements have successfully adapted autoregressive language models to process multimodal signals, such as images and actions.Indicators of resilience for autonomous control systems
As modern societies rely more on autonomous systems to facilitate daily life, assuring their safe operation is paramount.Function-Preserving Data Generation for Zero-Shot Real-to-Sim-to-Real Manipulation
Robotic data generation is a promising paradigm for scaling robot learning without collecting large-scale real-world data.Rollback the World, Keep the Reflection: Rollback-Induced Reflection for Long-Horizon LLM Agents
Large language model (LLM) agents increasingly tackle long-horizon tasks through multi-step environment interaction, yet a single erroneous action can alter subsequent states and observations…RAFAIL: Relationship-Aware Failure Detection for Robotic Manipulation
Detecting failures during execution is essential for reliable robotic manipulation.UAVs Meet Embodied Intelligence: Bridging Human Intents and Flying Dynamics Via Harnessing Physical-Digital AI Agents
Unmanned aerial vehicles (UAVs) extend embodied intelligence into continuous three-dimensional space, where perception, reasoning, physical embodiment, and action are tightly coupled through flight…GraphPoint: Semantic Entity Graphs and Point Trajectories for Compositional Robot Manipulation
Robot manipulation policies often struggle to generalize beyond their demonstrations, even when new instructions involve familiar objects and behaviors.RecMorph: Topology-Guided Spatial Recurrence for Generalized Morphology Control
Generalized morphology control requires a single policy to transform information across limbs with different physical roles, coordinate whole-body motion, and remain efficient as body size grows.Decoupling Vision, Language, and Action for Efficient Multi-Task Robot Policies
Vision-Language-Action (VLA) policies commonly run Vision-Language Model (VLM) backbones with billions of parameters at every policy inference, which costs latency and energy.DistAL: Distance-based Advantage Learning for VLA Fine-Tuning
Vision-language-action models (VLAs) have trans- formed the field of robotic manipulation in recent years by combining the semantic understanding of LLMs with the precise control of flow-matching…DetAug: Obstacle-Blind Trajectory Augmentation for Zero-shot Obstacle Avoidance
Policies for robotic manipulation are produced by training on large teleoperated datasets.Hardware-Free Robotics Laboratories in Mixed Reality
Teaching robotics relies on screen-based simulation, showing robot motion in an abstract coordinate frame rather than at real scale in the learner's own space, while access to physical hardware is…WetRobo: A Reproducible Robot Kit for Coding Agents in Biological Laboratories
Automating biological research requires general-purpose, reproducible robot systems that allow individual wet-lab researchers to delegate robot tasks without performing teleoperation or…Risk-Aware World Modeling with Flow-Guided Occupancy Evolution for Selective Trajectory Planning in Automated Driving
Safe motion planning in automated driving requires anticipating evolving traffic risks and deciding when to revise the current planned trajectory.VLM-MPPI: Grounding Natural Language in Behaviorally Diverse Trajectories for Aerial Navigation
We present a hierarchical UAV navigation framework that aligns natural-language intent with dynamically feasible flight behaviors in cluttered indoor environments.ForwardDLO: Model-Based Bimanual Shape Matching of Unconstrained Deformable Linear Objects
Ropes, cables, and other deformable linear objects appear in tasks from untangling to cable routing and suturing, yet controlling their shape remains a challenge in robot manipulation.