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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.

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Robotics

FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects

arXiv:2608.14049v1 Announce Type: new Abstract: Robotic manipulation of flat objects is challenging due to the ungraspable configurations and strong variations …

Robotics

hint$^2$: Hierarchical World Models for Inference-Time Temporal Logic Guidance

arXiv:2608.13678v1 Announce Type: new Abstract: A central goal of robot learning is to enable robots to execute rich instructions specified at runtime. Large-sc…

Robotics

Knowledge-Data-Dual-Driven Reinforcement Learning for Autonomous Vehicle Control in Mixed Traffic

arXiv:2608.13878v1 Announce Type: new Abstract: In mixed traffic, decision-making for autonomous vehicles (AVs) confronts three interrelated challenges. First, …

Robotics

BICPO-VLA: Behavior-Identified Continuation Preference Optimization for Smooth Asynchronous Vision-Language-Action Control

arXiv:2608.13924v1 Announce Type: new Abstract: The request-to-handoff gap has three coupled sources: ambiguity about the behavior intended at request time, phy…

Robotics

Demonstration of Space Robot Teleoperation over a Lossy and Delayed Network using ATMOS

arXiv:2608.14031v1 Announce Type: new Abstract: We present a demonstration showcasing the Autonomy Testbed for Multi-purpose Orbiting Systems (ATMOS), a planar …

Robotics

PILOT: Privileged Imitation Learning for End-to-End Motion Planning of Autonomous UAVs under Partial Observability

arXiv:2608.14082v1 Announce Type: new Abstract: Autonomous navigation in cluttered environments is hampered by partial observability and dynamic constraints. Th…

Robotics

OccPlanner: Goal-Aware Occupancy-Conditioned Diffusion Planner for Pixel-Goal Navigation

arXiv:2608.14160v1 Announce Type: new Abstract: Pixel-goal navigation specifies targets directly in the agent's camera view, but a target pixel provides neither…

Robotics

MMUSV-Sim: A Perception-Oriented Simulation and Data-Generation Platform for Multi-USV Cooperative Perception

arXiv:2608.14207v1 Announce Type: new Abstract: Cooperative perception among multiple unmanned surface vehicles (USVs) combines complementary observations to ex…

Robotics

Accelerating Large-scale Bundle Adjustment for LiDAR Mapping via Parallel Computing

arXiv:2608.14266v1 Announce Type: new Abstract: LiDAR bundle adjustment is widely utilized in mapping to construct globally consistent point cloud maps. In this…

Robotics

Control-Informed Constraint Adaptation in Minimum-Time Trajectory Planning for Autonomous Racing

arXiv:2608.14448v1 Announce Type: new Abstract: Autonomous racecars operate at the limits of vehicle dynamics, where small control errors translate into safety-…

Robotics

Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration

arXiv:2608.14466v1 Announce Type: new Abstract: An autonomous robot efficiently exploring an unknown environment, such as looking for water sources on Mars, fac…

Robotics

Spatiotemporal Tube-Based Safety-Certificate for Autonomous Navigation of Articulated Vehicles

arXiv:2608.14531v1 Announce Type: new Abstract: Articulated vehicles are the workhorses of freight transportation, and their autonomous navigation is challengin…

Robotics

Learning-Guided Sparsification of Dynamic Graphs in Robotic Exploration

arXiv:2604.16509v2 Announce Type: replace Abstract: Many robotic exploration algorithms rely on graph structures for frontier-based exploration and dynamic path…

Robotics

RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills

arXiv:2608.12416v1 Announce Type: new Abstract: Achieving generalizable robotic manipulation remains a central challenge in embodied intelligence. Despite rapid…

Robotics

Attune: A Self-Annotation Tool for Understanding Robot Operator Attention Profiles

arXiv:2608.12650v1 Announce Type: new Abstract: Deploying robot fleets in complex, real-world environments requires human operators to supervise multiple robots…

Robotics

FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition

arXiv:2608.12683v1 Announce Type: new Abstract: Embodied agents must often identify and interact with objects based on their function rather than their identity…

Robotics

SAP-Nav: Spatial Semantic Representation Meets Active Perception for Hierarchical Open-Vocabulary Object Navigation

arXiv:2608.12707v1 Announce Type: new Abstract: Hierarchical open-vocabulary object navigation (OVON) requires agents to follow free-form instructions that may …

Robotics

Genetic Fuzzy System-Based Multi-Robot Coordination for Planetary Missions

arXiv:2608.12755v1 Announce Type: new Abstract: This paper proposes a decentralized approach for a multi-robot system (MRS) using a genetic fuzzy system to perf…

Robotics

AirForesight: Current-to-Future Spatial Map Imagination with Cross-Space Planning Consistency for UAV-VLN

arXiv:2608.12835v1 Announce Type: new Abstract: Unmanned Aerial Vehicle Vision-Language Navigation (UAV-VLN) requires agents to follow language instructions, in…

Robotics

ASPIRE-VINS: Adaptive Spline-based Visual-inertial Navigation System With Robust 3D Measurement Residuals

arXiv:2608.12840v1 Announce Type: new Abstract: Visual-inertial navigation systems estimate six-degree-of-freedom motion by fusing visual and inertial data. Mod…

Robotics

BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous Driving

arXiv:2608.12854v1 Announce Type: new Abstract: Autonomous driving requires planning under both semantic constraints and predictive dynamics. Existing end-to-en…

Robotics

HumanoidVLN: A Physics-Grounded Simulator and Benchmark for Vision-Language Navigation Across Diverse Humanoid Embodiments

arXiv:2608.12860v1 Announce Type: new Abstract: Vision-Language Navigation (VLN) for humanoid robots poses challenges existing benchmarks fail to address: biped…

Robotics

Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning

arXiv:2608.13026v1 Announce Type: new Abstract: Outcome-driven reinforcement learning offers a scalable way to post-train vision-language-action (VLA) policies …

Robotics

H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models

arXiv:2608.13049v1 Announce Type: new Abstract: Large-scale manipulation data is essential for robot learning, yet collecting robot demonstrations remains expen…

Robotics

Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes

arXiv:2608.13095v1 Announce Type: new Abstract: Training and evaluating spatial reasoning in embodied agents requires diverse environments that are both geometr…

Robotics

S2-HWM: Sparse Event-Structured Hierarchical World Model for Long-Horizon Surgical Robot Manipulation

arXiv:2608.13103v1 Announce Type: new Abstract: Long-horizon surgical robot manipulation is challenging because task rewards are sparse, while meaningful intera…

Robotics

FAM-DQ: A Dual-Quadrotor-Based Fully Actuated Aerial Manipulator for High-Torque Interaction

arXiv:2608.13220v1 Announce Type: new Abstract: Aerial physical interaction requires aerial manipulation platforms to generate large interaction forces and torq…

Robotics

Manufacturing Complex Airtight Soft Pneumatic Actuators for Soft Robotics: Process Evaluation and Optimization

arXiv:2608.13233v1 Announce Type: new Abstract: Manufacturing complex soft pneumatic actuators remains challenging because geometric fidelity, compliance, struc…

Robotics

NestDex: Nested Policy Learning with Copilot Assisted Teleoperation for Dexterous Manipulation

arXiv:2608.13362v1 Announce Type: new Abstract: Dexterous manipulation promises substantially richer robot interaction with the physical world, but learning the…

Robotics

FIRE-VLA: Failure-Informed Self-Evolution for Vision-Language-Action Models in Autonomous Driving

arXiv:2608.13395v1 Announce Type: new Abstract: Reinforcement learning improves autonomous-driving vision-language-action (VLA) models by evaluating trajectorie…