Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models
Collin R. Johnson, Stijn de Vries, Kerstin Wohlgemuth +1 more
2025
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio Chanona +1 more
2025
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
Heng Zhang, Gokhan Solak, Arash Ajoudani
2025
Physics-Informed Neural Network-Based Control for Grid-Forming Converter's Stability Under Overload Conditions
Abhay Kumar, Dushyant Sharma, Mayukha Pal
2025
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
Leon Keller, Daniel Tanneberg, Jan Peters
2025
Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters
Omkar Sudhir Patil, Brandon C. Fallin, Cristian F. Nino +2 more
2025
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
Lu Cheng, Qixiu Zhang, Beibei Xu +4 more
2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
Zongyuan Zhang, Tianyang Duan, Zheng Lin +8 more
2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning
Zongyuan Zhang, Tianyang Duan, Zheng Lin +7 more
2025
The Crucial Role of Problem Formulation in Real-World Reinforcement Learning
Georg Schäfer, Tatjana Krau, Jakob Rehrl +2 more
2025
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
Dhruv Suri, Mohak Mangal
2025
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
Zhi Hou, Tianyi Zhang, Yuwen Xiong +8 more
2025
Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications
Ben Rahman
2025
Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control
Seungtaek Kim, Jonghyup Lee, Kyoungseok Han +1 more
2025
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
Gautham Udayakumar Bekal, Ahmed Ghareeb, Ashish Pujari
2025
Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
Chayan Banerjee, Kien Nguyen, Clinton Fookes
2025
Temporally-Consistent Bilinearly Recurrent Autoencoders for Control Systems
Ananda Chakrabarti, Indranil Nayak, Debdipta Goswami
2025
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
Chak Lam Shek, Pratap Tokekar
2025
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation
Octi Zhang, Quanquan Peng, Rosario Scalise +1 more
2025
Differentiable Simulator for Electrically Reconfigurable Electromagnetic Structures
Johannes Müller, Dennis Philipp, Matthias Günther
2025
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
Siddharth Chandak, Shaan Ul Haque, Nicholas Bambos
2025
Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy
Zekai Deng, Ye Shi, Kaiyang Ji +3 more
2025
Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree
Mahsa Khosravi, Zhanhong Jiang, Joshua R Waite +6 more
2025
An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide
Peter G. Jacobs, Wade Hilts, Robert Dodier +7 more
2025