Top Robotics & Embodied AI This Month
The most engaging robotics & embodied ai content from this month, curated by AI News.
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1
[2511.01107] SLAP: Shortcut Learning for Abstract Planning
Abstract page for arXiv paper 2511.01107: SLAP: Shortcut Learning for Abstract Planning
arXiv - Machine Learning · 24 days ago -
2
UW-Madison robotics team uses AI to revolutionize soccer competition
MADISON — A research group at the University of Wisconsin-Madison is transforming one of the world's most popular sports through artificial intelligence and robotics, creating soccer-playing machin...
AI News - General · 27 days ago -
3
[2510.26905] Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
Abstract page for arXiv paper 2510.26905: Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
arXiv - AI · 22 days ago -
4
Anthropic vs. the Pentagon: What’s actually at stake? | TechCrunch
The article discusses the conflict between Anthropic and the Pentagon over the use of AI in military applications, focusing on ethical concerns surrounding autonomous weapons and surveillance.
TechCrunch - AI · 28 days ago -
5
Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations
A Blog post by NXP on Hugging Face
Hugging Face Blog · 22 days ago -
6
A robot arm with puppy dog eyes is one of Lenovo’s desktop AI concepts | The Verge
Lenovo debuted two new concept devices at MWC that use AI to handle office tasks like scanning and summarizing documents, and sorting out your daily schedule.
The Verge - AI · 26 days ago -
7
A new wearable AI system watches your hands through smart glasses, guiding experiments and stopping mistakes before they happen
A new AI wearable system utilizes smart glasses to monitor hand movements, enhancing experimental accuracy and preventing errors in real-time.
Reddit - Artificial Intelligence · 28 days ago -
8
[2510.10932] DropVLA: An Action-Level Backdoor Attack on Vision--Language--Action Models
The paper presents DropVLA, an action-level backdoor attack on Vision-Language-Action models, demonstrating how minimal data poisoning can induce targeted actions without degrading nominal performa...
arXiv - AI · 28 days ago -
9
[2602.23280] Physics Informed Viscous Value Representations
This paper presents a novel approach to offline goal-conditioned reinforcement learning by introducing a physics-informed regularization derived from the viscosity solution of the Hamilton-Jacobi-B...
arXiv - Machine Learning · 28 days ago -
10
[2602.22724] AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification
AgentSentry introduces a novel framework to mitigate indirect prompt injection (IPI) in LLM agents, enhancing their security while maintaining task performance.
arXiv - AI · 28 days ago -
11
[2602.23321] Deep ensemble graph neural networks for probabilistic cosmic-ray direction and energy reconstruction in autonomous radio arrays
This paper presents a novel method using deep ensemble graph neural networks to accurately reconstruct the direction and energy of cosmic rays detected by autonomous radio arrays.
arXiv - Machine Learning · 28 days ago -
12
[2603.02688] Retrieval-Augmented Robots via Retrieve-Reason-Act
Abstract page for arXiv paper 2603.02688: Retrieval-Augmented Robots via Retrieve-Reason-Act
arXiv - AI · 23 days ago -
13
[2602.23073] Accelerated Online Risk-Averse Policy Evaluation in POMDPs with Theoretical Guarantees and Novel CVaR Bounds
This paper presents a theoretical framework for accelerating risk-averse policy evaluation in partially observable Markov decision processes (POMDPs), focusing on Conditional Value-at-Risk (CVaR) w...
arXiv - AI · 28 days ago -
14
[2602.23172] Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
The paper presents Latent Gaussian Splatting (LaGS) for 4D panoptic occupancy tracking, enhancing robot perception in dynamic environments by integrating multi-view data into a cohesive 3D represen...
arXiv - AI · 28 days ago -
15
[2602.23331] Utilizing LLMs for Industrial Process Automation
This article explores the application of Large Language Models (LLMs) in industrial process automation, focusing on their potential to enhance software engineering practices in specialized programm...
arXiv - AI · 28 days ago -
16
[2603.03800] A Rubric-Supervised Critic from Sparse Real-World Outcomes
Abstract page for arXiv paper 2603.03800: A Rubric-Supervised Critic from Sparse Real-World Outcomes
arXiv - Machine Learning · 22 days ago -
17
[2603.04378] Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
Abstract page for arXiv paper 2603.04378: Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
arXiv - AI · 22 days ago -
18
[2405.01440] A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Abstract page for arXiv paper 2405.01440: A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
arXiv - AI · 22 days ago -
19
[2502.10550] Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Abstract page for arXiv paper 2502.10550: Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
arXiv - AI · 22 days ago -
20
[2602.22769] AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
The paper introduces AMA-Bench, a new benchmark for evaluating long-horizon memory in Large Language Models (LLMs) for agentic applications, highlighting the limitations of existing evaluation stan...
arXiv - Machine Learning · 28 days ago -
21
[2603.01935] Dream2Learn: Structured Generative Dreaming for Continual Learning
Abstract page for arXiv paper 2603.01935: Dream2Learn: Structured Generative Dreaming for Continual Learning
arXiv - Machine Learning · 24 days ago -
22
Trump orders federal agencies to stop using Anthropic AI tech ‘immediately’
President Trump has ordered federal agencies to halt the use of AI technology from Anthropic, amid concerns over its deployment in military and surveillance applications.
Reddit - Artificial Intelligence · 28 days ago -
23
[2602.23193] ESAA: Event Sourcing for Autonomous Agents in LLM-Based Software Engineering
The paper presents ESAA, an architecture for autonomous agents using event sourcing to enhance state management and execution in LLM-based software engineering.
arXiv - AI · 28 days ago -
24
Dosidicus: A transparent cognitive sandbox disguised as a digital pet squid with a neural network you can see thinking
Dosidicus is a digital pet squid that serves as a cognitive sandbox, allowing users to build and visualize neural networks while learning about neuroscience.
Reddit - Artificial Intelligence · 28 days ago -
25
[2506.05619] Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
Abstract page for arXiv paper 2506.05619: Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
arXiv - Machine Learning · 24 days ago -
26
[2506.09434] When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
Abstract page for arXiv paper 2506.09434: When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
arXiv - Machine Learning · 24 days ago -
27
[2509.12282] AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
Abstract page for arXiv paper 2509.12282: AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science
arXiv - Machine Learning · 24 days ago -
28
[2603.03655] Mozi: Governed Autonomy for Drug Discovery LLM Agents
Abstract page for arXiv paper 2603.03655: Mozi: Governed Autonomy for Drug Discovery LLM Agents
arXiv - AI · 22 days ago -
29
[2602.22630] HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning
The paper presents HyperKKL, a novel approach for designing KKL observers for non-autonomous nonlinear systems, leveraging hypernetwork architecture to enhance state estimation.
arXiv - Machine Learning · 28 days ago -
30
Anthropic refuses Pentagon’s new terms, standing firm on lethal autonomous weapons and mass surveillance | The Verge
Anthropic has rejected the Pentagon's ultimatum for unrestricted access to its AI, maintaining its stance against lethal autonomous weapons and mass surveillance.
The Verge - AI · 29 days ago
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