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Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.

Latest in Research

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Robotics

AD-MPCC: Adaptive Differentiable Model Predictive Contouring Control for Autonomous Racing

arXiv:2607.00141v1 Announce Type: new Abstract: This paper presents Adaptive Differentiable Model Predictive Contouring Control (AD-MPCC), a framework for auton…

Robotics

E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences

arXiv:2603.27757v2 Announce Type: replace-cross Abstract: Event-based cameras capture visual information as asynchronous streams of per-pixel brightness changes…

Robotics

Joint Discovery of Object and Action Symbols through Effect Prediction for Robotic Manipulation Planning

arXiv:2607.00031v1 Announce Type: new Abstract: To perform complex manipulation planning, autonomous robots are required to abstract continuous, high-dimensiona…

Robotics

REALM: An RGB- and Event-Aligned Latent Manifold for Cross-Modal Perception

arXiv:2605.00271v3 Announce Type: replace-cross Abstract: Event cameras provide several unique advantages over standard frame-based sensors, including high temp…

Robotics

FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement

arXiv:2607.01111v1 Announce Type: new Abstract: Robot policies inevitably encounter failures when deployed in real environments. Naive retries often repeat the …

Robotics

Invariant Stochastic Filtering on SE(3) for Inertial-Encoder State Estimation of Serial Rigid Manipulators

arXiv:2607.00026v1 Announce Type: new Abstract: An invariant extended Kalman filter (IEKF) is developed for state estimation of serial rigid manipulators with a…

Robotics

Tendon-Actuated Robots with a Tapered, Flexible Polymer Backbone: Design, Fabrication, and Modeling

arXiv:2603.19124v3 Announce Type: replace Abstract: This paper presents the design, modeling, and fabrication of 3D-printed, tendon-actuated continuum robots fe…

Robotics

A Unified Benchmark for RCM-Constrained Visual Servoing: Modeling-Controller Interaction and Robustness Analysis in Laparoscopic Robots

arXiv:2607.00030v1 Announce Type: new Abstract: In robot-assisted laparoscopic minimally invasive surgery (MIS), accurate enforcement of the remote center of mo…

Robotics

From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping

arXiv:2607.00530v1 Announce Type: new Abstract: Improvements in the technical performance of human--robot interaction (HRI) systems do not automatically transla…

Robotics

Iterated Invariant EKF for 3D Landmark-Aided Inertial Navigation

arXiv:2607.00145v1 Announce Type: new Abstract: Inertial navigation systems aided by three-dimensional landmark measurements constitute a fundamental problem in…

Robotics

PhyPush: One Push is All You Need for Sensorless Physical Property Estimation with Physics-Guided Transformers

arXiv:2605.26284v2 Announce Type: replace Abstract: Accurately estimating object mass and friction is fundamental to reliable robotic manipulation. While intera…

Robotics

Optimal any-angle path planning in static and dynamic environments

arXiv:2607.00065v1 Announce Type: new Abstract: Any-angle path planning extends traditional graph-based path planning by allowing movement between any pair of v…

Robotics

HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems

arXiv:2607.00191v1 Announce Type: new Abstract: Collaborative-perception enables multi-robot systems to enhance situational awareness by sharing perceptual info…

Robotics

Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs

arXiv:2607.00302v1 Announce Type: cross Abstract: Touch supplies the physical grounding needed to perceive intrinsic material properties, such as friction and c…

Robotics

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

arXiv:2603.10263v2 Announce Type: replace Abstract: We introduce Distribution Contractive Reinforcement Learning (DICE-RL), a framework that uses reinforcement …

Apptronik unveils Apollo 2 and a flagship data collection and training facility
Robotics

Apptronik unveils Apollo 2 and a flagship data collection and training facility

Built as a data collection and training platform, Apollo 2 enables continuous learning through deployment, Apptronik said. The post Apptronik unveils Apollo 2 a…

Robotics

OopsieVerse: A Safety Benchmark with Damage-Aware Simulation for Robot Manipulation

arXiv:2606.31993v1 Announce Type: new Abstract: While robotic manipulation capabilities have advanced rapidly, physical safety remains a major barrier to deploy…

Robotics

Multi-Robot Coordination for Planning under Context Uncertainty

arXiv:2603.13748v3 Announce Type: replace Abstract: Real-world robots often operate in settings where objective priorities depend on the underlying context of o…

Robotics

Hierarchical 3D Scene Graph Construction and Belief-based Planning for Semantic Navigation

arXiv:2606.31071v1 Announce Type: cross Abstract: Semantic navigation is a fundamental task for embodied agents operating in unseen environments, requiring both…

Robotics

LDHP: Library-Driven Hierarchical Planning for Non-prehensile Dexterous Manipulation

arXiv:2603.13844v2 Announce Type: replace Abstract: Non-prehensile manipulation is essential for handling thin, large, or otherwise ungraspable objects in unstr…

Robotics

Safe Online Learning via Smooth Safety-Structured Policy Composition

arXiv:2606.31320v1 Announce Type: cross Abstract: Safe online reinforcement learning requires policies to respect safety constraints while maintaining smooth op…

Robotics

HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation

arXiv:2606.31682v1 Announce Type: new Abstract: Large-scale demonstration datasets have been central to recent progress in general-purpose robot policies. Howev…

Robotics

Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning

arXiv:2606.31562v1 Announce Type: new Abstract: Stabilization learning is an interdisciplinary paradigm that bridges control theory and machine learning. Its co…

Robotics

Wind and State Estimation on SE(3): Comparative Evaluation of EKF and UKF with Continuous and Discrete Quadrotor Models

arXiv:2606.30804v1 Announce Type: new Abstract: Use of quadrotor UAVs for wind velocity estimation is gaining popularity in recent studies, leveraging their man…

Robotics

StemVLA:An Open-Source Vision-Language-Action Model with Future 3D Spatial Geometry Knowledge and 4D Historical Representation

arXiv:2602.23721v2 Announce Type: replace Abstract: Vision-language-action (VLA) models integrate visual observations and language instructions to predict robot…

Robotics

DSIP: A Dynamic Coordination Planner for Signal-Free Intersections using Diffusion-Model-Based Multi-Agent Motion Planning

arXiv:2606.30694v1 Announce Type: new Abstract: Traffic signal control at urban intersections inherently introduces stop-and-go behavior, resulting in increased…

Robotics

Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors

arXiv:2606.31101v1 Announce Type: new Abstract: Bridging the sim-to-real gap is a core challenge in deploying learned manipulation policies. Sim-to-real learnin…

Robotics

Stage-Transition Dense Reward Modeling for Reinforcement Learning

arXiv:2606.31377v1 Announce Type: new Abstract: Reinforcement learning for long-horizon robotic manipulation is often limited by sparse and delayed rewards, whi…

Robotics

RhinoVLA Technical Report

arXiv:2606.07383v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have shown strong potential for robotic manipulation, but real-time depl…

Robotics

A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios

arXiv:2606.31483v1 Announce Type: new Abstract: Personalized driving can improve the user acceptance of automated driving systems. However, existing methods sti…