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630 selected reportsLast 30 days 568 recordsAll coverage 2,235 records

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Signal archive — Page 28

2026-10-14Wed541–560 records
  1. arXiv Robotics — research abstracts78

    CylindTrack: Depth-Aware Cylindrical Motion Modeling for Panoramic Multi-Object Tracking in Mobile Robots

    CylindTrack is a depth-aware cylindrical tracking-by-detection framework for panoramic multi-object tracking in mobile robots. It addresses coordinate discontinuities and depth estimation fluctuations by jointly modeling panoramic topology and temporal depth consistency. The framework improves identity consistency and trajectory continuity, achieving HOTA scores of 33.67 and 31.12, and IDF1 scores of 40.45 and 34.33 on QuadTrack and JRDB datasets, respectively. It runs at 28.56 and 21.34 frames per second on an NVIDIA GeForce RTX 3090 GPU.

  2. arXiv Robotics — research abstracts82

    ASENA: Self-evolving Agents for Embodied Navigation

    This paper introduces ASENA, an embodied agent system that enables general-purpose coding agents to program humanoid navigation, manipulation, and interaction. ASENA-VLN, a 4B monocular navigation policy, achieves state-of-the-art success rates on R2R and RxR benchmarks. Integration with coding agents improves success rates and reduces execution time, while persistent workspace evolution enhances performance through simulator feedback.

  3. arXiv Robotics — research abstracts82

    RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis

    RoboGaze is a training-free multi-agent VLM evaluator that provides temporally localized diagnostic reports for robot world models. It outperforms existing baselines, including an agentic detector, and improves accuracy in detecting failures in synthetic manipulation videos, achieving 85% mean clean-clip accuracy on the strongest backbone.

  4. arXiv Robotics — research abstracts82

    Approximate Imity Learning for Event-based Quadrotor Flight in Cluttered Environments

    This paper presents Approximate Imitation Learning, a novel framework that reduces the computational cost of training event-based control policies for quadrotors in cluttered environments. By separating representation learning from policy search, the method achieves a 28x speedup in training time and enables real-world validation with high-speed flight.

  5. arXiv Robotics — research abstracts82

    LLM2R: From Large Language Models to 3D Reassemblers

    LLM2R is a new method for 3D part assembly that uses a pretrained decoder-only large language model (LLM) to predict the rigid SE(3) transformations of parts. It encodes parts into geometric tokens using a Point-BERT encoder and a Q-Former, then processes the sequence with a causal LLM adapted with LoRA. A learnable summary token block aggregates the entire assembly, and a part-aware pose head predicts rotation and translation. LLM2R achieves the highest part accuracy and success rate on PartNet categories, the best rotation and translation errors on PartNeXt, and the lowest translation error and fastest inference on Breaking Bad.

  6. arXiv Robotics — research abstracts82

    Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence

    This research presents Thinker-WM, a unified world model that jointly models RGB, metric depth, and robot action through a shared intermediate representation. The model supports multiple functions including video-action generation, world prediction, and policy inference, and achieves top performance on several embodied intelligence benchmarks.

  7. arXiv Robotics — research abstracts72

    PACT: Posture-Aligned Co-Design Technique for Hand Configuration and Retargeting in Multi-Finger Imitation Learning

    This research presents PACT, a method that jointly optimizes the mechanical design and posture retargeting of a 17-servo robot hand to better replicate human grasping postures. It also achieves an 86% grasping success rate on YCB objects, with an imitation-learning policy achieving 75% success in a pick-and-place task.

  8. arXiv Robotics — research abstracts75

    CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation

    This research presents CoSMO, a framework that transforms vision-language model embeddings into online-calibrated coverage sets and safety-aware obstacle dilations to ensure safe navigation in open-world environments. By calibrating directly in the embedding space, CoSMO avoids score rescaling issues as vocabulary expands. Experiments on the Matterport3D dataset show a 61.6% reduction in semantic collisions compared to geometry-only baselines while maintaining formal coverage guarantees. Real-world tests on a quadruped robot achieved an empirical coverage of 90.73% against a 90% target, demonstrating generalization under distribution shift and delayed expert feedback.

  9. arXiv Robotics — research abstracts85

    Edge-Native Temporal--Graph Dual-Expert Inference for Dexterous Grasp Classification

    This research proposes a dual-expert architecture, DualExpert, combining a Temporal Convolutional Network (TCN) and a Finger Graph Filter Network (FGFN), to classify grasped objects and predict finger-specific stop events using only joint-angle and actuator-load feedback. The system achieves 93.78% trajectory-level classification accuracy and 95.25% F1 score for stop prediction, with low inference latency suitable for edge deployment.

2026-10-13Tue
  1. NVIDIA — Robotics model repository updates78

    NVIDIA Releases GR00T-N1.7 Model for Apple Pick-and-Place Task

    NVIDIA has released a fine-tuned GR00T-N1.7 model for apple pick-and-place tasks on a Unitree G1 humanoid robot. The model was trained on a 402-episode dataset with a 40,000-step cosine learning-rate schedule, and the checkpoint was saved at step 15,000. The model uses a flow-matching action transformer and is available in Safetensors format for commercial or non-commercial use.

  3. Machine Heart — Robotics on WeChat65

    Physical AI Operating System, Global First Industrial Embodied 6S Store Debut at Event. Industrial Embodied Intelligence Forum Held

    On October 12, 2026, the 'Industrial Embodied · Smart Manufacturing Without Borders' Industrial Embodied Intelligence Industry Innovation Summit Forum was held at the National Exhibition and Convention Center. The forum unveiled the Physical AI Industrial Embodied Operating System and the world's first Industrial Embodied Intelligence 6S Store, aiming to address technical bottlenecks and commercialization challenges in industrial scenarios for embodied intelligence.

  4. QbitAI — Robotics on WeChat72

    Token Usage Reduced by 74.9%: Real2Gym Turns Simulated Experience into Reusable Real-World Skills

    Real2Gym is a research initiative proposed by institutions such as the Shanghai Artificial Intelligence Laboratory, aiming to construct interactive simulation environments through video, enabling robots to learn and transfer skills to the real world. This method combines geometric constraints, interaction keyframe correction, and physics engine validation, significantly improving task success rates and efficiency while reducing model invocation frequency.

  5. Chinese robotics — Robot learning research75

    MagicAtom's EchoPolicy-0 and MagicBrain Frameworks Achieve Top Performance in MolmoSpaces Benchmark

    MagicAtom's EchoPolicy-0 framework achieved a 75.4% average success rate in MolmoSpaces Combined benchmark, ranking first globally, while MagicBrain achieved 72.4% with a 94.4% grasp success rate. Both frameworks address challenges in VLA by integrating visual language models with geometric tools and action policies, improving task execution and generalization in complex environments.

  6. High-tech Robotics — WeChat70

    9999 RMB Opens the 'Dexterous Era' of Robotics: Huiling Tech Launches 20-Degree-of-Freedom Dexterous Hand

    Huiling Tech launched the eHand-20 dexterous hand at the 2026 China International Industrial Fair, priced at 9999 RMB. This 20-degree-of-freedom dexterous hand combines high degrees of freedom with low cost through a full direct-drive control solution, modular design, and scalable manufacturing capabilities. The eHand-20 not only enhances fine manipulation capabilities but also advances embodied intelligence through a hand-brain closed-loop system, marking a significant turning point in the transition of dexterous hands from laboratory research to industrial application.

  7. Chinese robotics — Robot learning research76

    Zhi Fangping's Embodied Intelligence Model NeuroVLA and Commercialization Progress

    Zhi Fangping, a Chinese embodied intelligence company, has achieved a valuation of 20 billion yuan and released its NeuroVLA model, a class-brain-inspired architecture that improves robotic response times and efficiency. The company has also made progress in commercialization, including partnerships and deployments in multiple industries. The article discusses the technical and market implications of these developments.

  8. Machine Heart — Robotics on WeChat68

    Revealing the Scaling Trends of Human-Robot Co-Training. Euler Wanxiang Collaborates with Hong Kong University of Science and Technology (Guangzhou) to Open-Source Embodied UniWAM

    Euler Wanxiang and the Hong Kong University of Science and Technology (Guangzhou) jointly released UniWAM, a Unified World and Action Model, which enables unified learning of semantic understanding, future visual prediction, and action generation. UniWAM achieved state-of-the-art results on benchmarks such as LIBERO, LIBERO-Plus, and RoboTwin 2.0, and its capabilities in instruction following, complex interaction, and long-term task execution were validated through real-world experiments. The model code and weights are fully open-sourced, supporting further research and application.

  9. Physical Intelligence — Research and model announcements68

    Pi API Beta Launches Latest Robotic Foundation Models for Deployment

    Pi has released its latest robotic foundation models through the Pi API beta, enabling developers to fine-tune and deploy models for real-world applications. The API supports a range of industries and hardware, allowing companies to iterate on autonomy with reduced data and infrastructure requirements. Early deployments highlight the potential for practical robotic applications, with plans to continue updating models through the API.

  10. Stanford AI — Robotics75

    Turning One Human Video into Dexterous Robot Training Data Using Agentic Frameworks

    This work introduces DexAgent, an agentic framework that transforms a single egocentric human video and task description into diverse robot training data. By reconstructing underlying physical interactions in simulation, verifying object properties, and generating optimized robot trajectories, DexAgent enables robots to learn complex manipulation tasks from one demonstration. Across eleven real-world tasks, policies trained on DexAgent-generated data achieve 63.6% average success compared with 18.2% for the strongest baseline. The framework organizes video-to-robot conversion into four stages: semantic understanding, object property-based simulation reconstruction, robot trajectory optimization, and robot data generation, supported by a shared tool library that grows across demonstrations.

2026-10-12Mon
  1. Robotics & Automation News78

    SLS PA12 Robot Tooling: A Practical Qualification Guide

    This guide outlines the essential steps for qualifying SLS PA12-printed robot tooling for production environments. It covers defining the component's function, assessing load paths, designing for manufacturability, and implementing a staged qualification process. The tutorial emphasizes the importance of engineering validation, interface design, and testing under real-world conditions to ensure reliability and safety.

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