Bridging (networking)

Domain randomization for transferring deep neural networks from simulation to the real world

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Citations: 2736 • 2017

Cobot programming for collaborative industrial tasks: An overview

Shirine El Zaatari, Mohamed Marei, Weidong Li, Zahid Usman

Citations: 447 • 2019

Light Robots: Bridging the Gap between Microrobotics and Photomechanics in Soft Materials

Hao Zeng, Piotr Wasylczyk, Diederik S. Wiersma, Arri Priimägi

Citations: 376 • 2017

Bridging the Brain to the World: A Perspective on Neural Interface Systems

John P. Donoghue

Citations: 291 • 2008

Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments

Giseop Kim, Sun‐Wook Choi, Ayoung Kim

Citations: 288 • 2021

Reinforcement learning and optimal adaptive control: An overview and implementation examples

Said Ghani Khan, Guido Herrmann, Frank L. Lewis, Tony Pipe, Chris Melhuish

Citations: 232 • 2012

ChatGPT: Vision and challenges

Sukhpal Singh Gill, Rupinder Kaur

Citations: 217 • 2023

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Citations: 206 • 2017

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang

Citations: 200 • 2018

Anisotropic, Wrinkled, and Crack-Bridging Structure for Ultrasensitive, Highly Selective Multidirectional Strain Sensors

Heng Zhang, Dan Liŭ, Jeng‐Hun Lee, Haomin Chen, Eun Young Kim, Xi Shen, Qingbin Zheng, Jinglei Yang, Jang‐Kyo Kim

Citations: 190 • 2021

Three-dimensional printing of mycelium hydrogels into living complex materials

Silvan Gantenbein, Emanuele Colucci, Julian Käch, Etienne Trachsel, Fergal B. Coulter, Patrick A. Rühs, Kunal Masania, André R. Studart

Citations: 189 • 2022

Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies

Massimo Sartori, David G. Llyod, Dario Farina

Citations: 182 • 2016

Towards Continual Reinforcement Learning: A Review and Perspectives

Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup

Citations: 179 • 2022

Bridging the Research Gap: Making HRI Useful to Individuals with Autism

Elizabeth Kim, Rhea Paul, Frederick Shic, Brian Scassellati

Citations: 136 • 2012

Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems

Sergii Iarovyi, Wael M. Mohammed, Andrei Lobov, Borja Ramis Ferrer, José L. Martínez Lastra

Citations: 129 • 2016

Programmable Deployment of Tensegrity Structures by Stimulus-Responsive Polymers

Ke Liu, Jiangtao Wu, Gláucio H. Paulino, H. Jerry Qi

Citations: 115 • 2017

BWIBots: A platform for bridging the gap between AI and human–robot interaction research

Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J.K. Aggarwal, Raymond J. Mooney, Peter Stone

Citations: 115 • 2017

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Andrei A. Rusu, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell

Citations: 109 • 2016

Discrete time sliding mode control of robotic manipulators: Development and experimental validation

M.L. Corradini, Valentino Fossi, Andrea Giantomassi, Gianluca Ippoliti, Sauro Longhi, G. Orlando

Citations: 103 • 2012

Projective virtual reality: bridging the gap between virtual reality and robotics

Ε. Freund, Jürgen Roßmann

Citations: 98 • 1999