Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,691)
Clear ✕End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing
Meraj Mammadov
2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher Diehl, Tobias Klosek, Martin Krüger +2 more
2023
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
Zexin Li, Tao Ren, Xiaoxi He +1 more
2023
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
Yukun Su, Yi Yang
2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Zexin Li, Aritra Samanta, Yufei Li +3 more
2023
On Reward Structures of Markov Decision Processes
Falcon Z. Dai
2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm
Colin Bellinger, Laurence Lamarche-Cliche
2023
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles
Nicole Merkle, Ralf Mikut
2023
Deep learning assisted robust detection techniques for a chipless RFID sensor tag
Nadeem Rather, Roy B. V. B. Simorangkir, John L. Buckley +2 more
2023
Autonomous Underwater Robotic System for Aquaculture Applications
Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne +1 more
2023
Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV
Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne +1 more
2023
Pretty darn good control: when are approximate solutions better than approximate models
Felipe Montealegre-Mora, Marcus Lapeyrolerie, Melissa Chapman +2 more
2023
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
Achkan Salehi, Stephane Doncieux
2023
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
Taisuke Kobayashi
2023
Hybrid Models for Facial Emotion Recognition in Children
Rafael Zimmer, Marcos Sobral, Helio Azevedo
2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes
Sherif Abdelfattah, Kathryn Merrick, Jiankun Hu
2023
Quantifying the biomimicry gap in biohybrid robot-fish pairs
Vaios Papaspyros, Guy Theraulaz, Clément Sire +1 more
2023
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents
Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit +2 more
2023
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
Zhanglu Yan, Shida Wang, Kaiwen Tang +1 more
2023
Brain-inspired Computational Intelligence via Predictive Coding
Tommaso Salvatori, Ankur Mali, Christopher L. Buckley +4 more
2023
Leveraging Symmetries in Pick and Place
Haojie Huang, Dian Wang, Arsh Tangri +2 more
2023
Learning to Identify Critical States for Reinforcement Learning from Videos
Haozhe Liu, Mingchen Zhuge, Bing Li +4 more
2023
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Sk Aziz Ali, Djamila Aouada, Gerd Reis +1 more
2023
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +2 more
2023