International Conference on Robotics & Automation 2023

The MIT Press @ ICRA 2023

Welcome to our landing page for ICRA 2023. Browse our latest books and journals, and add your name to our newsletter to stay informed about new books, journals, and special promotions.
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Introduction to Autonomous Robots

Nikolaus Correll, Bradley Hayes, Christoffer Heckman, Alessandro Roncone

December 20, 2022

Neurorobotics

Tiffany J. Hwu, Jeffrey L. Krichmar

November 29, 2022

Learning for Adaptive and Reactive Robot Control

Aude Billard, Sina Mirrazavi, Nadia Figueroa

February 1, 2022

Introduction to AI Robotics

Robin R. Murphy

October 1, 2019

Bio-Inspired Artificial Intelligence

Dario Floreano, Claudio Mattiussi

April 4, 2023

Multi-Agent Oriented Programming

Olivier Boissier, Rafael H. Bordini, Jomi Hübner, Alessandro Ricci

September 15, 2020

Algorithms for Decision Making

Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray

August 16, 2022

Probabilistic Machine Learning

Kevin P. Murphy

August 15, 2023

Probabilistic Machine Learning

Kevin P. Murphy

March 1, 2022

Introduction to Algorithms

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

April 5, 2022

Structure and Interpretation of Computer Programs

Harold Abelson, Gerald Jay Sussman, Martin Henz, Tobias Wrigstad, Julie Sussman

April 12, 2022

Information-Driven Planning and Control

Silvia Ferrari, Thomas A. Wettergren

July 6, 2021

Computational Imaging

Ayush Bhandari, Achuta Kadambi, Ramesh Raskar

October 25, 2022

Physically Based Rendering

Matt Pharr, Wenzel Jakob, Greg Humphreys

March 28, 2023

The Little Learner

Daniel P. Friedman, Anurag Mendhekar, Guy L. Steele Jr., Peter Norvig

February 21, 2023

Program Proofs

K. Rustan M. Leino

March 7, 2023

Essentials of Compilation

Jeremy G. Siek

February 21, 2023

Computing and Technology Ethics

Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler, Sara-Jo Swiatek

February 14, 2023

Cognitive Robotics

Angelo Cangelosi, Minoru Asada

May 17, 2022

Bots and Beasts

Paul Thagard

October 19, 2021

Robot Ethics

Mark Coeckelbergh

September 6, 2022

Microprediction

Peter Cotton

November 8, 2022

Artificial Communication

Elena Esposito

May 24, 2022

Active Inference

Thomas Parr, Giovanni Pezzulo, Karl J. Friston

March 29, 2022

Insolvent

Christoph Becker

June 6, 2023

Sensing Machines

Chris Salter

April 19, 2022

Models of a Man

Mie Augier, James G. March

November 1, 2022

There Are No Facts

Mark Shepard

November 22, 2022

Journals

Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems. The journal shapes and chronicles the development of artificial life, extending the horizons of biological research beyond life-as-we-know-it and into the domain of life-as-it-could-be.

The longest-established academic journal that is devoted to research into teleoperation and virtual environments (3D virtual reality worlds), PRESENCE: Virtual and Augmented Reality is filled with stimulating material about fundamental research into topics such as presence, augmented reality, haptics, user interfaces, and virtual humans, and applications that range from heritage and education to training simulators, healthcare, and entertainment.

Evolutionary Computation is a leading journal in its field. It provides an international forum for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, and genetic programming.

Neural Computation disseminates important, multidisciplinary research in theory, modeling, computation, and statistics in neuroscience and in the design and construction of neurally inspired information processing systems. This field attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators working on the neural systems underlying perception, emotion, cognition, and behavior, and artificial neural systems that have similar capabilities. Powerful new experimental technologies being developed by the BRAIN Initiative will produce large, complex data sets, and rigorous statistical analysis and theoretical insight will be essential for understanding what these data mean. Timely, short communications, full-length research articles, and reviews focus on advances in the field and cover all aspects of neural computation.

Computational Linguistics is the longest-running publication devoted exclusively to the computational and mathematical properties of language and the design and analysis of natural language processing systems. This highly regarded quarterly offers university and industry linguists, computational linguists, artificial intelligence and machine learning investigators, cognitive scientists, speech specialists, and philosophers the latest information about the computational aspects of all the facets of research on language.