output
20112026
most citedLearning robust perceptive locomotion for quadrupedal robots in the wild

793 citations

93 papers

cs.RO2026

Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

Reza Nazmara, Alap Kshirsagar, Jan Peters +1

This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy…

cs.AI2026★ 2 cited

2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing

Jay Lee, Hanqi Su, Marco Macchi +50

The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…

cs.HC2026★ 1 cited

Grand Challenges around Designing Computers' Control Over Our Bodies

Florian 'Floyd' Mueller, Nadia Bianchi-Berthouze, Misha Sra +21

Advances in emerging technologies, such as on-body mechanical actuators and electrical muscle stimulation, have allowed computers to take control over our bodies. This presents opp…

cond-mat.mtrl-sci2025

From Mono- to Hexa-Interstitials: Computational Insights into Carbon Defects in Diamond

Nima Ghafari Cherati, Arsalan Hashemi, Ádám Gali

We present a comprehensive first-principles investigation of carbon self-interstitial defects in diamond, ranging from mono- to hexa-interstitial complexes. By quantum mechanical d…

cs.AI2025

Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment

Mazyar Taghavi, Javad Vahidi

This study introduces a quantum inspired framework for optimizing the exploration exploitation tradeoff in multiagent reinforcement learning, applied to UAVassisted 6G network depl…

cs.CL2025★ 1 cited

A Comparative Analysis of Recurrent and Attention Architectures for Isolated Sign Language Recognition

Nigar Alishzade, Gulchin Abdullayeva

This study presents a systematic comparative analysis of recurrent and attention-based neural architectures for isolated sign language recognition. We implement and evaluate two re…