Latest Robotics Research Papers

The newest Robotics papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Robotics so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• A Qualitative Exploration of the Attitudes and Perceptions of Female Immigrants of Chinese Descent Regarding Access to Mental Health Services
  Ming Wai Myra Kan · USF Scholarship Repository ... · Aug 3, 2027

  This qualitative study used Interpretative Phenomenological Analysis to explore the lived experiences and meaning-making of Chinese immigrants’ attitudes and perceptions of mental disorders and mental health-seeking behaviors in the US. Thi…

• Studying the effects of nuclear reaction rates on predictions of s-process nucleosynthesis in low-mass AGB stars
  Szányi Balázs · SZTE Repository of Disserta... · Jan 1, 2027
• Guayaquil de mis horrores:The Mangrove Gothic and Contemporary Literature in Ecuador’s Fear Capital
  Medina Cordova, Luis · University of Birmingham Re... · Jan 1, 2027

  This article explores the relationship between violence in Guayaquil, Ecuador’s economic capital, and two recent works of contemporary Ecuadorian literature. I introduce the term Mangrove Gothic to analyse how María Fernanda Ampuero’s short…

• Preclinical evaluation of PSMA-targeted ultrasound contrast agents in an orthotopic model of prostate cancer in rabbits.
  Felipe M. Berg, Eric Abenojar, Pinunta Nittayacharn, Nathan K. Hoggard et al. · PubMed · Jan 1, 2027

  The localization of prostate cancer by ultrasound remains limited by the lack of B-mode conspicuity and the confinement of clinically approved microbubbles (MBs) to the vasculature. This precludes differentiating viable tumor, necrotic tiss…

• RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
  [object Object], [object Object], [object Object], [object Object] et al. · AAAI 2026 · Dec 31, 2026

  Current roadside perception systems mainly focus on instance-level perception, which fall short in enabling interaction via natural language and reasoning about traffic behaviors in context. To bridge this gap, we introduce RoadSceneVQA, a …

• Transformación territorial en las subcuencas La Sabana y Tres Palos (Guerrero, México): Proyecciones al 2030 y 2050 mediante modelos predictivos
  Armando Jesús de la Colina-Rodríguez, Orlando Novua-Álvarez · Zenodo (CERN European Organ... · Dec 31, 2026

  Territorial transformation in the La Sabana and Tres Palos sub-basins (Guerrero, Mexico): Projections for 2030 and 2050 using predictive models. Article published in Ciencias de la Tierra y el Espacio, Vol. 26, pp. 41-58 (2026), ISSN 1729-3…

• Enhancement of Hydrodynamic Conditions forUltrafiltration Fouling Mitigation Using 3D PrintedElements
  Al-Tayawi Aws Nawfal Ahmed · SZTE Repository of Disserta... · Oct 23, 2026

  This Ph.D. study presents a sustainable strategy to enhance hydrodynamics and mitigate membrane fouling in ultrafiltration (UF) systems through the integration of 3D printed turbulence promoters (dead-end UF) and spacers (cross-flow vibrato…

• Multi-Instance Unrecoverability of iMHF-Based Password Hashing
  Charles John Dodd, Pooya Farshim, Siamak F. Shahandashti, Karl Southern · White Rose Research Online ... · Sep 18, 2026

  The study of memory-hard functions (MHFs) so far has mainly focused on providing provable guarantees on the expected minimum cumulative memory complexity (CMC) required per evaluation when amortized over multiple instances. Such results, ho…

• A novel demand response framework for the optimal design of hydrogen–ammonia hybrid microgrids
  Abdelrahman Mewafy, Islam Ismael, Sahar S. Kaddah, Adam Sulaiman et al. · Strathprints: The Universit... · Sep 15, 2026

  In standalone applications, hybrid microgrids are showing promise as a means of satisfying consumers’ combined needs for gas, heat, and power. While green hydrogen and green ammonia have been studied separately as energy carriers in earlier…

• EVPeriscope: Extended Perception across Aerial and Ground Vehicles with Event-based Propeller Tracking
  Dexter Ong, Vijay Kumar, Pratik Chaudhari · arXiv · Sep 10, 2026

  Reliable relative localization between aerial and ground robots is a key requirement for tightly coordinated heterogeneous teams. This can be difficult to do using conventional frame-based cameras and fiducial markers because they are sensi…

• UniMPA: A Unified Memory-Prediction-Action Model via Action-Grounded Transition Modeling
  Wei Li, Rui Shao, Jie He, Lingsen Zhang et al. · arXiv · Sep 10, 2026

  Recent advances in Vision-Language-Action (VLA) models have improved robotic manipulation, yet observation-to-action learning remains limited by a fundamental transition realizability gap, manifested in three tightly coupled problems: (i) T…

• Learning Agent-based Model Predictive Control for Holistic Vehicle Performance
  Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani, Chao Yu et al. · arXiv · Sep 10, 2026

  Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, its optimality highly depends on the prediction accuracy that…

• Rapid Learning of Dexterous In-Hand Pen Writing through Real-Time Jacobian Estimation
  Kai Stewart, Yasunori Toshimitsu, Robert K. Katzschmann · arXiv · Sep 10, 2026

  Dexterous in-hand manipulation of a grasped object with an anthropomorphic hand is an unsolved frontier for robot dexterity. The contact-richness and highly dynamic nature of object-hand interactions tend to require extensive modeling or da…

• Visual-SLAM for the detection of hidden tomatoes in greenhouses by Hierarchical Localization and GLOMAPfor robotized harvesting
  Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco, Francisco Rodríguez · arXiv · Sep 10, 2026

  Advanced crop monitoring inside greenhouses is becoming one of the primary objectives of research centers. High-performance sensors, such as LiDAR or stereo cameras, have traditionally been employed for this purpose, though these often have…

• SEED-UMI: Sharing the Exoskeleton between human and robot for onE-to-one Dexterous demonstration
  Tengbo Yu, Jiahao Wu, Daohan Li, Bingxu Chen et al. · arXiv · Sep 10, 2026

  Imitation learning for dexterous hands is bottlenecked by the difficulty of collecting contact-rich demonstrations that transfer faithfully to the robot. Prior wearable-exoskeleton systems record only on the human side and retarget via open…

• ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI
  Zhengran Ji, Jonathan Hyun, Boyuan Chen · arXiv · Sep 10, 2026

  Collective intelligence depends not only on the capabilities of individual members, but also on how those members are organized. Yet artificial multi-agent systems are typically assembled using fixed organizational structures, even when the…

• Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion
  Jian Zhou, Xingyu Zhang, Rui Ma, Yu Cao et al. · arXiv · Sep 10, 2026

  Muscle-driven locomotion provides a physically grounded approach to generating realistic human movement. However, achieving both physiological plausibility and adaptability to changes in musculoskeletal capacity and external disturbances re…

• MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware Trajectory Forecasting in Bird's-Eye-View Images
  Vladislav Diuzhev, Dmitry Yudin · arXiv · Sep 10, 2026

  Unified models for object detection and trajectory forecasting aim to merge perception and prediction for autonomous driving, refining actor trajectories directly over shared bird's-eye-view (BEV) images rasterized from LiDAR and high-defin…

• Aerodynamic Prior-Free Coordinated Trajectory Generation and Tracking Control for a Tail-Sitter UAV
  Erchao Rong, Zihao Liu, Junning Liang, Jianguo Wang et al. · arXiv · Sep 10, 2026

  This paper presents a coordinated trajectory generation and tracking control framework for a tail-sitter unmanned aerial vehicle (UAV), which does not require aerodynamic priors identified for a specific airframe while addressing the challe…

• ActSafeGuard: Differentiable and Training-Aligned Constraint Enforcement for Flow-Matching Policies
  Jianming Ma, Rongjun Jin, Xiaxi Si, Yang Zhang et al. · arXiv · Sep 10, 2026

  Vision-Language-Action (VLA) and World-Action Models (WAMs) have demonstrated strong capabilities in general-purpose robotic manipulation, yet their generated actions may violate hard physical constraints and therefore be unsafe or infeasib…

• Contact-Aware Incremental Model Predictive Control for an Underactuated Aerial Manipulator
  Darwin Liu, Tamas Keviczky, Sihao Sun · arXiv · Sep 10, 2026

  We present a robust contact-aware control framework for aerial writing on an underactuated platform. The framework combines nonlinear model predictive control (NMPC) for accurate end-effector position and normal-force tracking at small refe…

• Quasi-static analysis of passive stability in a novel underactuated multi-finger hand
  Léonie Plancoulaine, Sylvain Guégan, Franck Plestan, Damien Chablat · arXiv · Sep 10, 2026

  Underactuated robotic hands achieve adaptive and robust grasping with a reduced number of actuators, but predicting the stable equilibrium pose of the grasped object remains a significant challenge. This paper introduces a quasi-static anal…

• Memory as Plans: World-Action Modeling with Memory-Grounded Planning
  Sizhe Zhao, Haozhe Xie, Weiyu Zhao, Chenchu Zhang et al. · arXiv · Sep 10, 2026

  Mainstream robotic policies often adopt a Markovian formulation, but many complex real-world manipulation tasks are inherently non-Markovian, requiring long-horizon memory beyond the current observation. Existing memory mechanisms often rel…

• CAP: Continuously Adaptive Perception-Blind Humanoid Locomotion via Learned Denoising
  Hongjin Chen, Zijun Xu, Shihao Ma, Yi Zhao et al. · arXiv · Sep 10, 2026

  Humanoid locomotion across complex terrain demands forward-looking exteroception to anticipate obstacles, yet this signal is unreliable in real-world deployment, failing partially and intermittently. Existing perceptive policies often assum…

• Using Automated Vehicles Operational Data to Confirm Safety and Anticipate Threats
  Riccardo Donà, Espedito Rusciano, Germana Trentadue, Anastasios Tsakalidis et al. · arXiv · Sep 10, 2026

  European Union (EU) policymakers adopted revolutionary data collection provisions for Automated Driving Systems (ADS) in the recently approved regulation that allows driverless vehicles to be operated on public roads. The framework is inspi…

• CARLAverse: A Highly Modular, Distributed, and Multimodal Framework for Human-in-the-Loop Simulation
  Patrick Rebling, Philipp Nenninger, Reiner Kriesten · arXiv · Sep 10, 2026

  The development of autonomous driving demands comprehensive testing in mixed-traffic scenarios involving vulnerable road users (VRUs), where purely artificial agents often fail to capture authentic human social negotiations. While human-in-…

• 3D Euler-Angle Orientation Control for Two-Ray Fading Mitigation in Maritime Air-to-Sea Communications
  Mohammed Bajja, Abdoul Karim A. H. Saliah, Hajar El Hammouti, Daniel Bonilla Licea et al. · arXiv · Sep 10, 2026

  Maritime Air-to-Sea links are dominated by a line-of-sight ray and a sea-surface reflected ray whose destructive combination produces deep fades. Existing mitigation strategies optimize Unmanned Aerial Vehicle position or trajectory but lea…

• FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model
  Haoran Pei, Mingrui Luo, Senbao Wang, Haoran Lv et al. · arXiv · Sep 10, 2026

  Reliable robot deployment requires online failure monitoring, yet existing monitors mainly derive risk from proxy signals or train dedicated monitoring components. We ask whether the internal predictive states of a frozen pretrained robotic…

• Safety-aware Skill Adaptation for Reinforcement Learning in Dynamic Environments
  A K M Nadimul Haque, Sheila Sutjipto, Marc G. Carmichael, Teresa Vidal-Calleja · arXiv · Sep 10, 2026

  Skill adaptation frameworks based on reinforcement learning often require restrictive assumptions to maintain stability, such as fixed observations or tightly controlled exploration schedules. In cluttered and dynamic environments, however,…

• SwarmNxt: Open-source Software-Hardware Platform for Fast and Agile Aerial Swarms
  Charbel Toumieh, Niel Mistry, Benjamin Jarvis, Simon Jeger et al. · arXiv · Sep 10, 2026

  Aerial robot swarms have the potential to transform time-critical safety, security, and search-and-rescue operations. By coordinating multiple robots, they can rapidly survey disaster sites, map collapsed or GPS-denied environments, and sea…