Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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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 · 1 min ·
Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles | TechCrunch
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 · 6 min ·
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 · 1 min ·

All Content

[2602.14083] Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation
Llms

[2602.14083] Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation

The article presents Plan-MCTS, a novel framework for enhancing web navigation through improved exploration and state perception, address...

arXiv - AI · 3 min ·
[2602.13710] HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models
Machine Learning

[2602.13710] HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models

The paper presents HBVLA, a framework for 1-bit post-training quantization of Vision-Language-Action models, enhancing efficiency while m...

arXiv - Machine Learning · 4 min ·
[2602.13690] Physics Aware Neural Networks: Denoising for Magnetic Navigation
Machine Learning

[2602.13690] Physics Aware Neural Networks: Denoising for Magnetic Navigation

This paper presents a novel framework for denoising magnetic navigation data using physics-aware neural networks, addressing challenges i...

arXiv - Machine Learning · 4 min ·
[2602.13936] A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving
Machine Learning

[2602.13936] A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving

This paper presents a Physics-guided Causal Model for trajectory prediction in autonomous driving, focusing on zero-shot generalization a...

arXiv - AI · 3 min ·
[2602.13865] Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay
Machine Learning

[2602.13865] Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay

This paper introduces MOC-HER and 2HER, methods that enhance Hierarchical Reinforcement Learning by improving performance in sparse rewar...

arXiv - Machine Learning · 4 min ·
[2602.13691] PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning
Llms

[2602.13691] PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning

The paper presents PhGPO, a novel approach for long-horizon tool planning that utilizes pheromone-guided policy optimization to enhance t...

arXiv - AI · 3 min ·
[2602.13653] Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy Optimization
Llms

[2602.13653] Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy Optimization

The paper presents a novel framework for autonomous GUI navigation using Agentic-Q estimation and step-wise policy optimization, enhancin...

arXiv - AI · 4 min ·
[2602.13559] OpAgent: Operator Agent for Web Navigation
Machine Learning

[2602.13559] OpAgent: Operator Agent for Web Navigation

The paper presents OpAgent, an innovative online reinforcement learning agent designed for effective web navigation, achieving a state-of...

arXiv - AI · 4 min ·
[2602.13473] NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
Llms

[2602.13473] NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines

NeuroWeaver is an autonomous evolutionary agent designed to optimize EEG analysis pipelines, addressing data constraints and computationa...

arXiv - AI · 3 min ·
[2602.13323] Contrastive explanations of BDI agents
Robotics

[2602.13323] Contrastive explanations of BDI agents

This article discusses the extension of Belief-Desire-Intention (BDI) agents to provide contrastive explanations, enhancing transparency ...

arXiv - AI · 3 min ·
[2602.13248] X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles
Nlp

[2602.13248] X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles

The paper introduces X-Blocks, a framework for analyzing natural language explanations in automated vehicles, enhancing user trust and un...

arXiv - AI · 4 min ·
Robotics

[D] We found 18K+ exposed OpenClaw instances and ~15% of community skills contain malicious instructionsc

A security audit reveals over 18,000 exposed OpenClaw instances and alarming findings of malicious instructions in 15% of community-built...

Reddit - Machine Learning · 1 min ·
[2602.10727] Rising Multi-Armed Bandits with Known Horizons
Machine Learning

[2602.10727] Rising Multi-Armed Bandits with Known Horizons

The paper presents a novel approach to the Rising Multi-Armed Bandit (RMAB) problem, introducing CUmulative Reward Estimation UCB (CURE-U...

arXiv - Machine Learning · 3 min ·
[2602.13197] Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
Robotics

[2602.13197] Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos

This article presents a framework called Perceive-Simulate-Imitate (PSI) for training robots to learn manipulation skills from human vide...

arXiv - Machine Learning · 4 min ·
[2602.13003] MASAR: Motion-Appearance Synergy Refinement for Joint Detection and Trajectory Forecasting
Machine Learning

[2602.13003] MASAR: Motion-Appearance Synergy Refinement for Joint Detection and Trajectory Forecasting

The paper presents MASAR, a novel framework for joint 3D detection and trajectory forecasting that enhances performance by integrating mo...

arXiv - Machine Learning · 3 min ·
[2602.12684] Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
Machine Learning

[2602.12684] Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution

Xiaomi-Robotics-0 is an advanced open-sourced vision-language-action model designed for real-time execution, showcasing state-of-the-art ...

arXiv - Machine Learning · 4 min ·
[2602.12492] Composable Model-Free RL for Navigation with Input-Affine Systems
Machine Learning

[2602.12492] Composable Model-Free RL for Navigation with Input-Affine Systems

This paper presents a novel composable model-free reinforcement learning approach for navigation in dynamic environments, focusing on rea...

arXiv - Machine Learning · 3 min ·
[2602.12487] Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling
Machine Learning

[2602.12487] Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling

This paper introduces a novel Gaussian Process model for quadrotor dynamics that integrates gradient information, enabling real-time infe...

arXiv - Machine Learning · 4 min ·
[2602.12407] MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
Robotics

[2602.12407] MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

The paper presents MiDAS, an open-source multimodal data acquisition system for robot-assisted minimally invasive surgery, enabling synch...

arXiv - Machine Learning · 3 min ·
[2602.12405] Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
Llms

[2602.12405] Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning

The paper presents ARMOR, a self-refining vision language model designed for robotic failure detection and reasoning, achieving significa...

arXiv - Machine Learning · 4 min ·
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