Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents
Pan Wang, Yihao Hu, Xiujin Liu +3 more
2026
Transfer Learning for Customized Car Racing Environments
Benedict Florance Arockiaraj, Richard Chang, Wesley Yee
2026
WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform
Yu Shang, Yinzhou Tang, Yiding Ma +17 more
2026
Attention-Guided Fusion of 1D and 2D CNNs for Robust ECG-Based Biometric Recognition
Arioua, Islameddine, Benzaoui +5 more
2026
Nano World Models: A Minimalist Implementation of Future Video Prediction
Siqiao Huang, Partha Kaushik, Michael Chen +4 more
2026
DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization
Sixu Lin, Yunpeng Qing, Litao Liu +4 more
2026
Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning
Hong Su
2026
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
Emad Abukhousa, Saman Zonouz, A. P. Sakis Meliopoulos
2026
Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions
Qingwen Pu, Kun Xie, Yuan Zhu +1 more
2026
Event-Grounded Sparse Autoencoders for Vision-Language-Action Policies
Xinchen Jin, Aditya Chatterjee, Pranav Kumar +1 more
2026
Geometric Fault Identification via Mirror Descent Learning
Mahdi Taheri, Haeyoon Han, Soon-Jo Chung +1 more
2026
How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
Bosung Kim, Ruiyi Wang, David Acuna +5 more
2026
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
Jianye Xu, Bassam Alrifaee
2026
Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles
Aidana Baimbetova, Haruki Yonekura, Hamada Rizk +1 more
2026
AoI-MDP: An AoI Optimized Markov Decision Process (Student Abstract)
Yimian Ding, Jingzehua Xu, Yiyuan Yang +3 more
2026
Stable Fiber-Koopman Residual Dynamics for Environment-Constrained Robust Control
Syed Pouladi
2026
EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
Thomas Evers, Cristian Meo, Wendelin Bohmer +2 more
2026
Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking
Vaidehi Bagaria, Nikshep Grampurohit, Pulkit Verma
2026
Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Fan Feng, Selena Ge, Minghao Fu +6 more
2026
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
Shaojun Xu, Xiaoling Zhou, Yihan Lin +4 more
2026
Adaptive Outer-Loop Control of Quadrotors via Reinforcement Learning
Vishnu Saj, Sushil Vemuri, Dileep Kalathil +1 more
2026
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen +1 more
2026
Dynamic Plasma Shape Control with Arbitrary Sensor Subsets
D. Sorokin, M. Stokolesov, A. Granovskiy +7 more
2026
Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics
K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen
2026