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

• 乳児一過性低ガンマグロブリン血症の双胎例 -リンパ球サブセット解析の鑑別診断における有用性
  雄太 大野, 元礼 巨田, 素子 安冨, 遥 壬生 et al. · Institutional Repositories ... · Mar 1, 2027

  The authors report a case of monochorionic diamniotic (MD) twins born at 37 weeks of gestation, both of whom developed hypogammaglobulinemia. Case 1 was a 5-month- old female infant who presented with right-sided methicillin-resistant Staph…

• 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…

• The Ethical and Legal Complexities of Regulating Companion AI Chatbots
  Sue Anne Teo, S. P. Mann, Paul Jurcys · Lund University Publication... · Jan 1, 2027

  Companion AI chatbots are increasingly used to provide friendship, emotional support, and quasi-romantic relationships, with reported benefits for loneliness and mental health. At the same time, recent suicides and other serious harms alleg…

• 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 …

• 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…

• Fruit odors enhance attractiveness of male <i>Drosophila melanogaster</i> flies during courtship
  J. Otárola Jiménez, M. ; https://orcid.org/0000-0002-6710-1071 Knaden · MPG.PuRe (Max Planck Society) · Aug 21, 2026
• Efficient Threshold ML-DSA
  Sofía Celi, Rafaël del Pino, Thomas Espitau, Guilhem Niot et al. · HAL (Le Centre pour la Comm... · Aug 12, 2026

  International audience...

• IMPACT OF REPEATED SEROTONIN 6 RECEPTOR ACTIVATION ON WEIGHT AND ANXIETY IN C57BL/6J AND BTBR MICE
  Pedro Flores · CSUSB ScholarWorks (Califor... · Aug 1, 2026

  Selective Serotonin Reuptake Inhibitors (SSRI) are the most common form of medication prescribed to people with anxiety disorders. One of the most common side effects is weight gain. This weight gain often leads to the suspension of treatme…

• The Effect of Sustainable 3D Store Design on Consumer Online Shopping Behavior
  Sophie G Roussel · Journal of the Arkansas Aca... · Aug 1, 2026

  Sustainability has become a significant factor in shaping consumer shopping habits. Companies are implementing 3D store designs to provide a more immersive and interactive experience. Further study is needed to investigate whether a sustain…

• ROLE OF STIGMA ON ENGAGEMENT IN MENTAL HEALTH SERVICES FOR LATINXS WITH FIRST-EPISODE PSYCHOSIS (FEP)
  Livia J Padron Briceno · CSUSB ScholarWorks (Califor... · Aug 1, 2026

  Psychotic patients often endure stigma in their daily lives (Corrigan, 2018). Psychotic patients are understood as individuals who are experiencing psychotic symptoms such as hallucinations, delusions and disorganized speech (Arciniegas, 20…

• A Tool for the Verification and Synthesis of Stochastic World Models
  RADU CONSTANTIN Calinescu, Micah Bassett, Brendan Devlin-Hill, Simos Gerasimou et al. · White Rose Research Online ... · Jul 26, 2026
• AXIS: A Growable Community-Driven Data Engine for Scalable Robot Manipulation
  Mengfei Zhao, Dihong Huang, Yikai Tang, Peihao Li et al. · arXiv · Jul 23, 2026

  Learning effective robot manipulation policies requires diverse, high-quality demonstrations, yet existing data pipelines are often difficult to scale because they rely on specialized hardware, centralized operators, or fixed task suites. W…

• Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation
  Yu Qi, Zhang Ye, Xinyi Xu, Yuxuan Lu et al. · arXiv · Jul 23, 2026

  Compositional generalization is essential for robot to follow diverse instructions. However, pretrained policies are known to take shortcuts, deferring to salient cues rather than grounding language. We introduce a diagnostic framework that…

• Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
  Zikui Cai, Kaushal Janga, Tan Dat Dao, Seungjae Lee et al. · arXiv · Jul 23, 2026

  Embodied question answering (EQA) is traditionally evaluated under an episodic formulation, where agents solve each task independently and reset internal state between episodes. However, real-world robots operate continuously and must accum…

• GS-Agent: Creating 4D Physical Worlds With Generative Simulation
  Hongxin Zhang, Chunru Lin, Junyan Li, Zhou Xian et al. · arXiv · Jul 23, 2026

  Creating dynamic and physically realistic 4D worlds from natural language descriptions is both fascinating and challenging. Traditional computer graphics methods rely on manual creation, requiring extensive human effort to fine-tune materia…

• Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections
  Gil Lifshits, Igal Bilik, Gilad Katz · arXiv · Jul 23, 2026

  Coordinating autonomous vehicles at unsignalized intersections remains a critical challenge for multi-agent reinforcement learning (MARL) systems, which typically struggle with combinatorial action spaces, reliance on privileged information…

• GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition
  Panagiotis Mermigkas, Argyris Manetas, Petros Maragos · arXiv · Jul 23, 2026

  Existing Gaussian-splatting-based monocular Simultaneous Localization and Mapping (SLAM) systems are either tailored to short sequences, are not real-time, or suffer from prohibitive GPU memory requirements, limiting their applicability in …

• VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
  Jiabin Lou, Haopeng Wang, Yuanshuai Wang, Xinyu Liu et al. · arXiv · Jul 23, 2026

  Vision-and-Language Navigation (VLN) enables embodied agents to follow natural-language instructions. However, route-level instructions commonly encode spatial priors, such as orientation, distance, and layout, that are not explicitly avail…

• Grasp, Handover, Rotate: Bimanual Object Reorientation via Compositional Diffusion and Energy-Based Optimization
  Wun Lam Yeung, Wenjun Liu, Yui Cheung Yu, Zhengyan Lambo Qin et al. · arXiv · Jul 23, 2026

  Bimanual object reorientation - picking an object, handing it over between two arms, and placing it in a desired target pose - is valuable when direct placement from the initial grasp is infeasible due to collisions, kinematic constraints, …

• Factorized Spatio-Temporal Convolutions for Human Pose Estimation from Planar Lidar
  Simone Arreghini, Mirko Nava, Nicholas Carlotti, Antonio Paolillo et al. · arXiv · Jul 23, 2026

  Localizing nearby humans and estimating their facing direction are key capabilities for safe navigation and socially aware human-robot interaction. Many pose-estimation pipelines target cameras and 3D LiDAR or assume GPU-class compute, wher…

• HGeo-TopoMap: Boosting Topological Mapping with Hierarchical Geometric Priors
  Siyu Li, Kunyu Peng, Di Wen, Beiping Hou et al. · arXiv · Jul 23, 2026

  Topological maps are key outputs of autonomous driving perception systems, delivering essential road information for path planning. They identify instances such as centerlines and traffic signs, along with their connectivity relationships. …

• FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor
  Kyupaeck Jeff Rah, Midum Oh · arXiv · Jul 23, 2026

  Force-conditioned reinforcement learning (RL) enables tight-clearance assembly under a commanded force ceiling, but practical deployment requires determining an appropriate force limit for each object and recovering from insertion failures …

• RL-MACRO: A Cybernetic Closed-Loop Intelligence Framework for Multimodal Adaptive Robotic Craniotomy
  Xiao Zhang, Jiaxuan Li, Renzhen Le, Di Wu et al. · arXiv · Jul 23, 2026

  Autonomous robotic craniotomy requires continuous regulation of tool-tissue interactions to mitigate mechanical overload and thermal damage while maintaining surgical efficiency. However, this process is inherently partially observable due …

• TransBiolab: A Real-World Multi-View Dataset of Cluttered Transparent Biomedical Objects
  Ke Ma, Yifei Wang, Meng Wang, Tian Xia · arXiv · Jul 23, 2026

  Autonomous biomedical laboratories increasingly rely on visual perception to recognize, localize, and manipulate transparent plasticware, yet high-quality real-world datasets for this setting remain limited. The scarcity of domain-relevant …

• Human-Inspired Framework for Robotic Craniotomy: Integrating Multimodal Fusion and Adaptive Trajectory Adjustment
  Renzhen Le, Xiao Zhang, Di Wu, Yuanyu Wei et al. · arXiv · Jul 23, 2026

  Manual craniotomy is a high-risk, skill-dependent procedure associated with surgeon fatigue and potential dural injury. While robotic approaches have improved safety, existing open-loop systems rely solely on preoperative images and cannot …

• GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning
  Masaki Murooka, Ryoichi Nakajo, Keisuke Shirai, Tomohiro Motoda et al. · arXiv · Jul 23, 2026

  End-to-end visuomotor policies provide little opportunity for humans to understand or correct the policy's visual attention. We propose GuidedAttention, a visuomotor imitation learning framework that introduces interpretable and correctable…

• A Real-Time Generalized Nash Equilibrium Framework for Interaction-Aware Autonomous Driving in Mixed Traffic
  Nouhed Naidja, Mohamed-Cherif Rahal, Steve Pechberti, Stéphane Font et al. · arXiv · Jul 23, 2026

  Safe and efficient navigation in mixed-traffic environments remains a critical challenge for Autonomous Vehicles (AVs), primarily due to the complex interdependence between the AV's decisions and the unpredictable reactions of human drivers…

• ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments
  Shaomin Liang, Xuanhong Liao, Shiyao Zhang · arXiv · Jul 23, 2026

  In Object Goal Navigation task, existing methods are typically restricted to static and single-floor environments, ignoring cross-floor topologies and dynamic pedestrian, which limits their real-world deployment. To address these limitation…

• TableVerse: A Large-scale Tabletop Dataset with Real-world Grounded Layouts for Generalizable Manipulation
  Boyuan Wang, Yue Zhang, Xutao Xue, Xueyu Song et al. · arXiv · Jul 23, 2026

  The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-scale, high-fidelity scene data. While recent automated synthesis methods attempt to bridge this gap via text-to-layout halluc…

• Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization
  Haejoon Lee, Xinyi Wang, Taekyung Kim, Dimitra Panagou · arXiv · Jul 23, 2026

  Trajectory optimization for multi-robot systems remains a critical challenge, particularly when navigating highly non-convex, non-linear, and non-differentiable environments. While Model-Based Diffusion (MBD) has recently emerged as a promi…