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 175
SPARSER: Sparse Variable Projection by Exploiting Separable Structure in Robotic Perception
Robotic perception often requires solving large nonlinear least-squares (NLS) problems.LLM-based Conversational AI Knowledge Assistant for MyBuddy Humanoid Robot
Humanoid robots are increasingly being popular and developed for human-centered applications, yet their ability to provide intelligent conversations and natural interactive knowledge assistance…Beyond Visual Quality: A Study of Test-Time Planning with World Action Models
World action models generate actions together with visual predictions of their consequences.D-JEPA: A Decision-Aligned Latent World Model
Latent world models predict the consequences of actions, but accurate prediction does not guarantee that latent distance reflects which candidate will execute successfully.A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions
Aerial manipulators represent the forefront of aerial robotics.H2RBench: A Real-to-Sim Benchmark for Evaluating Human-to-Robot Transfer
Learning robot manipulation policies from human video demonstrations constitutes a promising avenue for scalable robot learning.Toward a foundation model for forest point clouds
Forest inventories increasingly rely on artificial intelligence (AI) models to derive forest attributes from large-scale 3D point clouds.Uranus: Building the Next-Generation Simulation Infrastructure for Embodied AI
Scalable simulation is essential for robot data generation, policy training, evaluation, and safe iteration, yet real-world interaction is costly and conventional simulators require labor-intensive…Minimum Time Trajectories for a Car-Like Mobile Robot Moving with Rigid Wheels Under Non-Sliding Constraints
This paper studies the minimum time trajectoriesvof a car-like mobile robot navigating in an obstacle free environment.PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control
Diffusion models offer flexible motion generation, but translating this flexibility into feedback-responsive humanoid control remains challenging.CAST: Collision-Aware Assembly with Construction Robots using Simultaneous Trajectory Estimation and Planning
Multi-robot systems have shown increasing viability in construction due to their ability to execute high-precision actions while reducing human exposure to hazardous tasks.Range-Aided SLAM Initialization Exploiting Accurate Heading Information
This paper presents a novel initialization method for range-aided simultaneous localization and mapping (RA-SLAM).SE(3) Neural Potential Fields for 6-DoF Trajectory Planning Directly from Images Without Explicit 3D Reconstruction
Reaching a 6-DoF grasp pose in clutter requires a collision-free trajectory, conventionally obtained by reconstructing the scene in 3D and planning inside that reconstruction, at the cost of its…DualWAM: Dual-System World Action Models for Asynchronous Global Planning and Local Refinement
World Action Models (WAMs) jointly generate robot actions and predict future world states, transferring priors from video pretraining to robot control.Steerable and Reactive Grasping Through Modular Design with a Three-Point Interface
Dexterous grasping requires deciding where to grasp, reaching the target, and maintaining stable contact.Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning
Dormant tree pruning is labor-intensive yet essential for maintaining modern high-productivity fruit orchards.Learning to Drive on Mars: Visual Multimodal Traversability Estimation for Off-World Navigation
Autonomous navigation on Mars requires vehicles to distinguish between traversable terrains across diverse and visually challenging environments.DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation
Dexterous manipulation depends on contact dynamics that are often only partially observable from vision.MIGU: Multimodal Instruction Grounding under Uncertainty for Manipulation Planning
Understanding natural human instructions is crucial for deploying robots in human-centric environments.Learning Beyond What Humans Can Demonstrate
Behavior cloning for robot manipulation relies on expert demonstrations.