Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,670)
Clear ✕Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen, Dipesh Tamboli, Tian Lan +1 more
2023
Unsupervised Discovery of Continuous Skills on a Sphere
Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
Taekyung Kim, Jungwi Mun, Junwon Seo +2 more
2023
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall, Jascha Achterberg, Thomas Miconi +4 more
2023
Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition
Xiaopeng Si, Dong Huang, Yulin Sun +1 more
2023
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark
Xiaofeng Liu, Jiaxin Gao, Yaohua Liu +2 more
2023
Can Language Models Solve Graph Problems in Natural Language?
Heng Wang, Shangbin Feng, Tianxing He +3 more
2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Desong Du, Shaohang Han, Naiming Qi +3 more
2023
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
Adam S. R. Parker, Michael R. Dawson, Patrick M. Pilarski
2023
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal
Zhongliang Jiang, Felix Duelmer, Nassir Navab
2023
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing
Francesco Conti, Gianna Paulin, Angelo Garofalo +7 more
2023
Sequence-Agnostic Multi-Object Navigation
Nandiraju Gireesh, Ayush Agrawal, Ahana Datta +4 more
2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization
Homayoon Farrahi, A. Rupam Mahmood
2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
Roshan Dhakal, Md Ridwan Hossain Talukder, Gregory J. Stein
2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Jinghao Xin, Jinwoo Kim, Zhi Li +1 more
2023
Towards a Simple Framework of Skill Transfer Learning for Robotic Ultrasound-guidance Procedures
Tsz Yan Leung, Miguel Xochicale
2023
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari +2 more
2023
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil +1 more
2023
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System
Kairui Guo, Adrian Cheng, Yaqi Li +3 more
2023
An Adaptive Behaviour-Based Strategy for SARs interacting with Older Adults with MCI during a Serious Game Scenario
Eleonora Zedda, Marco Manca, Fabio Paterno +1 more
2023
Incremental procedural and sensorimotor learning in cognitive humanoid robots
Leonardo de Lellis Rossi, Leticia Mara Berto, Eric Rohmer +4 more
2023
Adversarial Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
2023
SocNavGym: A Reinforcement Learning Gym for Social Navigation
Aditya Kapoor, Sushant Swamy, Luis Manso +1 more
2023
Roll-Drop: accounting for observation noise with a single parameter
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala +2 more
2023