Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
Shan Shen, Dingcheng Yang, Yuyang Xie +3 more
2025
Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
Shan Shen, Yibin Zhang, Hector Rodriguez Rodriguez +1 more
2025
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
Yuhan Liu, Xinyu Zhang, Haonan Chang +1 more
2025
Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach
Xinyu Huang, Yixiao Zhang, Yingying Pei +2 more
2025
An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models
Doyeong Lim, Yang Liu, Zavier Ndum Ndum +2 more
2025
Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan +2 more
2025
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
Jian Kai, Tianwei Zhang, Zihan Ling +2 more
2025
EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling
Boyuan Wang, Xinpan Meng, Xiaofeng Wang +7 more
2025
Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
Vyacheslav Kungurtsev, Monicah Cherop Naibei, Gustav Sir +4 more
2025
Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback
Jan Kompatscher, Danqing Shi, Giovanna Varni +2 more
2025
Domain Adaptation of Drag Reduction Policy to Partial Measurements
Anton Plaksin, Georgios Rigas
2025
Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
Jinwei Hu, Zezhi Tang, Xin Jin +3 more
2025
Optimizing Age of Trust and Throughput in Multi-Hop UAV-Aided IoT Networks
Yizhou Luo, Kwan-Wu Chin, Ruyi Guan +4 more
2025
Latent FxLMS: Accelerating Active Noise Control with Neural Adaptive Filters
Kanad Sarkar, Austin Lu, Manan Mittal +3 more
2025
A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets
Jun He, Andrew L. Liu
2025
Neural Substitute Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics
Jialin Zheng, Haoyu Wang, Yangbin Zeng +5 more
2025
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs
Purbesh Mitra, Sennur Ulukus
2025
Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
Sertac Kilickaya, Levent Eren
2025
Red grape detection with accelerated artificial neural networks in the FPGA's programmable logic
Sandro Costa Magalhães, Marco Almeida, Filipe Neves dos Santos +2 more
2025
Indoor thermal comfort management: A Bayesian machine-learning approach to data denoising and dynamics prediction of HVAC systems
Javier Penuela, Sahar Moghimian Hoosh, Ilia Kamyshev +2 more
2025
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Abhishek Verma, Nallarasan V, Balaraman Ravindran
2025
Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Shrenik Jadhav, Birva Sevak, Srijita Das +2 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