Robotics
SMASH2000, an AI-powered optic that turns an AR-15 into an anti-drone platform
submitted by /u/Sgt_Gram [link] [comments]
Reddit - Artificial Intelligence
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1 min
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Robotics & Embodied AI
Physical AI, robots, and autonomous systems
Top This Week
Machine Learning
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles | TechCrunch
The company turns footage from robots into structured, searchable datasets with a deep learning model.
TechCrunch - AI
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6 min
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Machine Learning
The AI Chip War is Just Getting Started
Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...
Reddit - Artificial Intelligence
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1 min
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All Content
![[2602.14363] AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Robotics
[2602.14363] AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation
The paper presents AdaptManip, an autonomous framework for humanoid robots to perform object lifting and delivery using reinforcement lea...
arXiv - Machine Learning
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4 min
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Llms
[2602.14299] Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
This article explores whether socialization occurs in AI agent societies, using Moltbook as a case study. It presents a framework for ana...
arXiv - AI
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4 min
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Robotics
[2602.14193] Learning Part-Aware Dense 3D Feature Field for Generalizable Articulated Object Manipulation
The paper presents a novel Part-Aware 3D Feature Field (PA3FF) for enhancing robotic manipulation of articulated objects, addressing chal...
arXiv - Machine Learning
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4 min
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Computer Vision
[2602.14140] Detection of On-Ground Chestnuts Using Artificial Intelligence Toward Automated Picking
This article presents a study on using AI for detecting chestnuts on the ground to improve automated harvesting, highlighting the effecti...
arXiv - AI
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4 min
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Robotics
[2602.14117] Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management
This article presents a multi-scale agentic AI framework for Open Radio Access Networks (O-RAN), enhancing real-time network control and ...
arXiv - AI
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4 min
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Robotics
[2602.14099] SemanticFeels: Semantic Labeling during In-Hand Manipulation
The paper presents SemanticFeels, a novel framework for semantic labeling during in-hand manipulation, enhancing robots' ability to class...
arXiv - AI
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3 min
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Machine Learning
[2602.13977] WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
The paper presents WoVR, a novel reinforcement learning framework that enhances the reliability of world models for Vision-Language-Actio...
arXiv - AI
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4 min
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Computer Vision
[2602.13901] RPGD: RANSAC-P3P Gradient Descent for Extrinsic Calibration in 3D Human Pose Estimation
The paper presents RPGD, a novel framework for extrinsic calibration in 3D human pose estimation, combining RANSAC-P3P and gradient desce...
arXiv - Machine Learning
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3 min
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Llms
[2602.13476] AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
AsyncVLA introduces an asynchronous control framework for robotic navigation, enhancing real-time performance by decoupling semantic reas...
arXiv - Machine Learning
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3 min
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Computer Vision
[2602.13378] LAF-YOLOv10 with Partial Convolution Backbone, Attention-Guided Feature Pyramid, Auxiliary P2 Head, and Wise-IoU Loss for Small Object Detection in Drone Aerial Imagery
The paper presents LAF-YOLOv10, an advanced model for small object detection in drone imagery, integrating techniques like Partial Convol...
arXiv - Machine Learning
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4 min
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Machine Learning
[2602.13764] MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer
The paper presents MOTIF, a novel framework for few-shot cross-embodiment transfer in robotics, addressing challenges in kinematic hetero...
arXiv - AI
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3 min
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Machine Learning
[2602.13718] HybridFlow: A Two-Step Generative Policy for Robotic Manipulation
The paper presents HybridFlow, a two-step generative policy designed to improve robotic manipulation by enhancing real-time interaction c...
arXiv - AI
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3 min
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Computer Vision
[2602.13681] An Ensemble Learning Approach towards Waste Segmentation in Cluttered Environment
This article presents an Ensemble Learning approach to enhance waste segmentation accuracy in cluttered environments, crucial for improvi...
arXiv - AI
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4 min
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Robotics
[2602.13238] Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
This paper presents a novel hybrid quantum reinforcement learning framework, Q-PPO, designed to enhance the security of SIM-assisted wire...
arXiv - Machine Learning
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4 min
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Robotics
[2602.13640] Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation
This article presents a novel hierarchical framework for integrating audio, visual, and proprioceptive data to enhance robotic manipulati...
arXiv - AI
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4 min
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Computer Vision
[2602.13555] Privacy-Concealing Cooperative Perception for BEV Scene Segmentation
The paper presents a Privacy-Concealing Cooperation (PCC) framework for Bird's Eye View (BEV) semantic segmentation, enhancing autonomous...
arXiv - AI
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4 min
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Machine Learning
[2602.13496] Future of Edge AI in biodiversity monitoring
This article explores the role of Edge AI in biodiversity monitoring, analyzing 82 studies to assess system types, architectural trade-of...
arXiv - AI
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4 min
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Llms
[2602.13427] Backdooring Bias in Large Language Models
The paper explores backdoor attacks in large language models (LLMs), focusing on how biases can be induced through syntactically and sema...
arXiv - AI
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4 min
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Machine Learning
[2602.13444] FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation
FlowHOI presents a novel framework for generating hand-object interactions in robotic manipulation, enhancing the realism and efficiency ...
arXiv - AI
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4 min
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Machine Learning
[2602.13347] Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots
The paper presents FOREST, a diffusion-based world model for robotic stow operations, enhancing the prediction of post-stow configuration...
arXiv - AI
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3 min
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