Testbed
Related papers: 20
About
A testbed, in the context of robotics and AI, is a purpose-built physical or virtual platform designed to develop, integrate, and rigorously evaluate systems, algorithms, and hardware under controlled yet realistic conditions. Testbeds range from specialized robot platforms—such as bipedal walkers like RABBIT or MABEL built to study locomotion control—to large-scale networked environments like FIT IoT-LAB, which hosts thousands of wireless nodes and mobile robots for distributed systems research. In robotics and AI, testbeds serve as the essential bridge between theoretical work and real-world deployment: researchers use them to validate motion planning algorithms, multi-robot coordination strategies, human-robot interaction protocols, and communication networks in settings where variables can be systematically manipulated and measured. They matter because simulation alone cannot capture the full complexity of physical dynamics, hardware imperfections, and environmental uncertainty. By providing reproducible, instrumented environments with ground-truth data and modular infrastructure, testbeds accelerate scientific progress, enable fair benchmarking across research groups, and reduce the risk of deploying unvalidated systems in safety-critical applications such as surgical robotics, autonomous vehicles, and elderly care.
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Top Cited Papers
A vision-based formation control framework
Arindam Das, Rafael Fierro, Vijay Kumar, J.P. Ostrowski, John Spletzer, Camillo J. Taylor
Citations: 1151 • 2002
Vision and navigation for the Carnegie-Mellon Navlab
C. Thorpe, Martial Hebert, Takeo Kanade, Steven A. Shafer
Citations: 771 • 1988
RABBIT: a testbed for advanced control theory
Christine Chevallereau, Gabriel Abba, Yannick Aoustin, Franck Plestan, E. R. Westervelt, Jessy W. Grizzle
Citations: 538 • 2003
FIT IoT-LAB: A large scale open experimental IoT testbed
Cédric Adjih, Emmanuel Baccelli, Éric Fleury, Gaetan Harter, Nathalie Mitton, Thomas Noël, Roger Pissard-Gibollet, Frédéric Saint-Marcel, Guillaume Schreiner, Julien Vandaële, Thomas Watteyne
Citations: 424 • 2015
Competitive Coevolution through Evolutionary Complexification
Kenneth O. Stanley, Risto Miikkulainen
Citations: 414 • 2004
Control of robotic mobility-on-demand systems: A queueing-theoretical perspective
Rick Zhang, Marco Pavone
Citations: 364 • 2015
CNP: An FPGA-based processor for Convolutional Networks
Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun
Citations: 362 • 2009
A Compliant Hybrid Zero Dynamics Controller for Stable, Efficient and Fast Bipedal Walking on MABEL
Koushil Sreenath, Hae-Won Park, Ioannis Poulakakis, Jessy W. Grizzle
Citations: 348 • 2010
Development and evaluation of interactive humanoid robots
Takayuki Kanda, Hiroshi Ishiguro, Michita Imai, Tetsuo Ono
Citations: 267 • 2004
Active filtering of physiological motion in robotized surgery using predictive control
R. Ginhoux, Jacques Gangloff, Michel de Mathelin, Luc Soler, M.M.A. Sanchez, Jacques Marescaux
Citations: 240 • 2005
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks
Pubudu N. Pathirana, Nirupama Bulusu, Andrey V. Savkin, Sanjay Jha, Thanh Dang
Citations: 222 • 2007
CB: a humanoid research platform for exploring neuroscience
Gordon Cheng, Sang-Ho Hyon, Jun Morimoto, Aleš Ude, Joshua G. Hale, G.E. Colvin, Wayco Scroggin, Stephen C. Jacobsen
Citations: 215 • 2007
Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments
Jing Chen, Tianbo Liu, Shaojie Shen
Citations: 212 • 2016
Mobile Emulab: A Robotic Wireless and Sensor Network Testbed
David L. Johnson, Tim Stack, Russ Fish, Daniel Montrallo Flickinger, Leigh Stoller, Robert Ricci, Jay Lepreau
Citations: 206 • 2006
Motion planning for formations of mobile robots
Tim Barfoot, Christopher M. Clark
Citations: 204 • 2004
Trust calibration within a human-robot team: Comparing automatically generated explanations
Ning Wang, David V. Pynadath, Susan G. Hill
Citations: 200 • 2016
An architecture for reflexive autonomous vehicle control
David W. Payton
Citations: 199 • 1986
Passive mechanical gravity compensation for robot manipulators
Nathan Ulrich, Vijay Kumar
Citations: 192 • 2002
Hidden Markov model approach to skill learning and its application to telerobotics
Jie Yang, Yangsheng Xu, C.S. Chen
Citations: 183 • 1994
Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning
Luis Pérez, Silvia Rodríguez-Jiménez, Nuria Rodríguez López, Rubén Usamentiaga, Daniel F. García
Citations: 181 • 2020