Engineering
Related papers: 20
About
Engineering in robotics and AI refers to the broad interdisciplinary practice of designing, analyzing, and building systems that sense, reason, and act in the physical world. It draws from mechanical engineering, control theory, computer science, and materials science to produce everything from robot manipulators and mobile platforms to aerial vehicles and soft robots. Core engineering techniques include kinematics and dynamics modeling, motion planning algorithms, real-time control strategies such as sliding mode and hybrid force/position control, and optimization frameworks used to solve complex, nonlinear problems. Engineers apply these foundations to enable robots to navigate environments, avoid obstacles, coordinate in multi-robot teams, and learn from experience through approaches like reinforcement learning and iterative learning control. The field also incorporates emerging materials such as shape memory alloys and novel fabrication methods for soft robotics. Engineering matters because it provides the rigorous mathematical and physical foundations that transform theoretical ideas into reliable, deployable systems—directly shaping how automation affects industries, labor markets, and everyday human interaction with intelligent machines.
Top Researchers
Top Cited Papers
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
Citations: 14853 • 2002
A robust layered control system for a mobile robot
Rodney A. Brooks
Citations: 7743 • 1986
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Oussama Khatib
Citations: 7533 • 1986
Swarm Intelligence
Eric Bonabeau, Marco Dorigo, Guy Théraulaz
Citations: 6404 • 1999
Design, fabrication and control of soft robots
Daniela Rus, Michael T. Tolley
Citations: 5556 • 2015
Introduction to Robotics mechanics and Control
John Craig
Citations: 5039 • 1986
Planning Algorithms
Steven M. LaValle
Citations: 5025 • 2006
Computational Geometry: Algorithms and Applications
Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars
Citations: 4506 • 1997
A review of shape memory alloy research, applications and opportunities
Jaronie Mohd Jani, Martin Leary, Aleksandar Subic, Mark Gibson
Citations: 3959 • 2013
Robot dynamics and control
Mark W. Spong
Citations: 3821 • 1989
CasADi: a software framework for nonlinear optimization and optimal control
Joel A.E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, Moritz Diehl
Citations: 3693 • 2018
Proceedings. 1985 IEEE International Conference on Robotics and Automation
Citations: 3680 • 1985
Causal Diagrams for Epidemiologic Research
Sander Greenland, Judea Pearl, James M. Robins
Citations: 3663 • 1999
The dynamic window approach to collision avoidance
D. Fox, Wolfram Burgard, Sebastian Thrun
Citations: 3622 • 1997
A tutorial on visual servo control
Seth Hutchinson, Gregory D. Hager, Peter Corke
Citations: 3499 • 1996
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
David Autor
Citations: 3485 • 2015
Bettering operation of Robots by learning
Suguru Arimoto, Sadao Kawamura, Fumio Miyazaki
Citations: 3445 • 1984
Robots and Jobs: Evidence from US Labor Markets
Daron Acemoğlu, Pascual Restrepo
Citations: 3417 • 2019
Sliding Mode Control in Electro-Mechanical Systems
Vadim Utkin, Jürgen Guldner, Jingxin Shi
Citations: 3211 • 2010
The Uncanny Valley [From the Field]
Masahiro Mori, Karl F. MacDorman, Norri Kageki
Citations: 3196 • 2012