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 82
Acceptable Misalignment
There is a specific challenge designers face in developing autonomous robots capable of open-ended learning.Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration
LLMs are used as high-level controllers for embodied agents, but it remains unclear whether they support collaborative reasoning, such as anticipating a collaborator's actions in real-time teamwork…ConDenseDrive: Knowledge-Dense, Token-Sparse Visual Encoder for End-to-End Autonomous Driving
End-to-end driving requires rich spatiotemporal representations to support scene understanding and trajectory planning under strict latency constraints.DiTSG: Context-Aware Air Traffic Scene Generation with Multi-Agent Diffusion Transformers
Understanding how many aircraft, and which traffic configurations, can be safely and efficiently managed by air traffic controllers within a given airspace is fundamental to air traffic management.Proactive Physical AI through Continuous Observation and Timely Intervention
Physical AI is commonly formulated around an explicitly specified task: given a goal or instruction, a system perceives, reasons, and acts.UniLAP: A Unified Latent Action Policy for Cross-Embodiment Manipulation
Latent Action Models (LAMs) can capture manipulation priors from action-free videos, but discrete latents usually impose a granularity bottleneck, limiting their ability to represent fine-grained…Joint-Feasibility Margin Feedback for Bounded-Input Second-Order Control Barrier Functions
Multiple second-order control barrier function constraints can exhaust their common control authority under bounded acceleration, even when the current state remains feasible.MOSAIC: Mode- and Support-Aware Inference-Time Control of Robot Diffusion Models
Generative policies such as diffusion models provide expressive data-driven priors for robot behavior, yet the situations a robot faces at execution time rarely match its training data and impose…Multi-Agent Deferred-Decision Trajectory Optimization with Anytime-Valid Target Retention for Moving Candidates
We study multi-agent terminal interception when one of several moving candidates is the unknown target and both target identity and candidate terminal locations are uncertain.Task-Space Motion-Force Nonlinear Model Predictive Control for Precise and Compliant Control under Uncertainties
In Nonlinear Model Predictive Control (NMPC), the control law is implicitly determined by the solution of an Optimal Control Problem (OCP).Declarative Reactive Robot Behaviors from Imperative Language Models
Large Language Models (LLMs) are predominantly trained on imperative programming languages, and existing work on LLM-based robot programming reflects this: it focuses on goal-directed tasks…Interactive Navigation Beyond Reachability: Benchmark and Agentic Framework
Existing embodied navigation tasks commonly assume that traversability and object states remain fixed during an episode.D-World: An Explicit World-Language-Action Model with Recursive Self-Improvement under Dual Control
Frontier large language models (LLMs) now reason about space well enough to program robots, yet the world models behind robot policies are implicit, held in network weights or predicted video, and…Force-Modulated Dexterity: Unified Compliance for Contact-Rich Manipulation
Teleoperation is widely used to collect high-quality demonstrations for robot learning.Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery
Achieving complex, long-horizon robot behavior remains challenging because successful execution depends on skills grounded in a robot's physical affordances.DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine
Cutting a piece of food looks effortless in human hands.LiDAR-based Humanoid Navigation in Dynamic, Non-Convex Environments via Spatio-Temporal Safe Corridors
Navigating humanoid robots through dynamic, non-convex environments requires tightly coupling onboard perception with footstep planning and dynamic locomotion control.Value-Preserving Action Quantization
Search-based policy learning, such as Monte Carlo tree search (MCTS), offers the flexibility to trade runtime computation for data efficiency and adaptation to novel environments.Physical SLAM: Physics-aware Simultaneous Localisation and Mapping
To reconstruct a predictive 4D representation of the physical world from monocular video captured by a moving camera, we jointly reconstruct dynamic Gaussian radiance fields and infer their…ReForesight: Occlusion-Robust Re-Identification and Future Occupancy Forecasting for Dynamic Semantic Mapping
Robots sharing walkways need to know where people will be, yet semantic occupancy maps show only where they are.