Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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Latest papers(539,764)
Hybrid Satellite-Ground Deployments for Web3 DID: System Design and Performance Analysis
Yalin Liu, Zhigang Yan, Bingyuan Luo +5 more
2025
Understanding Trade offs When Conditioning Synthetic Data
Brandon Trabucco, Qasim Wani, Benjamin Pikus +1 more
2025
Beyond Interval MDPs: Tight and Efficient Abstractions of Stochastic Systems
Ibon Gracia, Morteza Lahijanian
2025
cVLA: Towards Efficient Camera-Space VLAs
Max Argus, Jelena Bratulic, Houman Masnavi +4 more
2025
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
2025
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Abhishek Verma, Nallarasan V, Balaraman Ravindran
2025
Optimality Loss Minimization in Distributed Control with Application to District Heating
Audrey Blizard, Stephanie Stockar
2025
Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable
Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag +1 more
2025
What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
Daniel Durstewitz, Bruno Averbeck, Georgia Koppe
2025
A robust and adaptive MPC formulation for Gaussian process models
Mathieu Dubied, Amon Lahr, Melanie N. Zeilinger +1 more
2025
Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Shrenik Jadhav, Birva Sevak, Srijita Das +2 more
2025
AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
Sixiang Chen, Jiaming Liu, Siyuan Qian +9 more
2025
A Novel Hybrid Grey Wolf Differential Evolution Algorithm
Ioannis D. Bougas, Pavlos Doanis, Maria S. Papadopoulou +8 more
2025
3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
Ranjan Sapkota, Zhichao Meng, Martin Churuvija +3 more
2025
TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents
Dmytro Kuzmenko, Nadiya Shvai
2025
Auto-optimization of Energy Generation for Wave Energy Converters with Active Learning
Siyang Tang, Wen-Hua Chen, Cunjia Liu
2025
PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
Omkar Shende, Gayathri Ananthanarayanan, Marcello Traiola
2025
Graph Representation-based Model Poisoning on Federated Large Language Models
Hanlin Cai, Haofan Dong, Houtianfu Wang +2 more
2025
Re-examining the Legendre-Gauss-Lobatto Pseudospectral Methods for Optimal Control
Yilin Zou, Fanghua Jiang
2025
Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain
Cong Wang, Roberto Calandra, Verena Klös
2025
Vision-Aided ISAC in Low-Altitude Economy Networks via De-Diffused Visual Priors
Yulan Gao, Ziqiang Ye, Zhonghao Lyu +4 more
2025
Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework
Patrick Benito Eberhard, Johannes Köhler, Oliver Hüsser +2 more
2025
Approximate Solution Methods for the Average Reward Criterion in Optimal Tracking Control of Linear Systems
Duc Cuong Nguyen
2025
System Filter-Based Common Components Modeling for Cross-Subject EEG Decoding
Xiaoyuan Li, Xinru Xue, Bohan Zhang +3 more
2025