Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics
Yufan Lu, Cong Gao, Rappy Saha +3 more
2022
USHER: Unbiased Sampling for Hindsight Experience Replay
Liam Schramm, Yunfu Deng, Edgar Granados +1 more
2022
An Autonomous Descending-Stair Cleaning Robot with RGB-D based Detection, Approaching, and Area coverage Process
Prabakaran Veerajagadheswar, Anh Vu Le, Phone Thiha Kyaw +2 more
2022
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic
Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh
2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios
Francisco Cruz, Charlotte Young, Richard Dazeley +1 more
2022
HTRON:Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan +3 more
2022
Distribution Theoretic Semantics for Non-Smooth Differentiable Programming
Pedro H. Azevedo de Amorim, Christopher Wai‐Kei Lam
2022
Multi-Agent Navigation with Reinforcement Learning Enhanced Information Seeking
Siwei Zhang, Anna Guerra, Francesco Guidi +2 more
2022
Vision-driven Deep Reinforcement Learning for Electronic Components Robotic Insertion Tasks
Grzegorz Bartyzel, Wojciech Półchłopek, Dominik Rzepka
2022
Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics
Nicholas Ho, John Kevin Cava, John Vant +5 more
2022
Automating the Learning of Inverse Kinematics for Robotic Arms with Redundant DoFs
Chi-Kai Ho, Chung‐Ta King
2022
Playing a 2D Game Indefinitely using NEAT and Reinforcement Learning
Jerin Paul Selvan, Pravin Game
2022
Electroencephalography-Based Brain-Computer Interfaces for Robots Control Using Deep Learning
Zeinab Said Wahba, Marwan Torki, Ayman S. Abdel‐Khalik
2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang, Mengdi Xu, Fei Fang +1 more
2022
Optical fiber specklegram sensor for multi-point curvature measurements
Eric Fujiwara, Thiago D. Cabral
2022
Feasibility of Using Wearable EMG Armbands combined with Unsupervised Transfer Learning for Seamless Myoelectric Control
M. Hongchul Sohn, Sonia Yuxiao Lai, Matthew L. Elwin +1 more
2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour, Daniel Freeman, Byron David +3 more
2022
Investigating Compounding Prediction Errors in Learned Dynamics Models
Nathan Lambert, Kristofer S. J. Pister, Roberto Calandra
2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu, Deepak Pathak, Kris Kitani
2022
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation
Haresh Karnan, Anirudh Nair, Xuesu Xiao +5 more
2022
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Yash Shukla, Christopher Thierauf, Ramtin Hosseini +2 more
2022
A Survey on Distributed Online Optimization and Game
Xiuxian Li, Lihua Xie, Na Li
2022
Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama +5 more
2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof +8 more
2022