2026 Marc Toussaint: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	49	5856	5689	270	262	254	10409

Overview

Marc Toussaint is affiliated with the Technical University of Berlin in Germany. Their research spans various fields and subfields of study within computer science and engineering, focusing notably on robotics and artificial intelligence.

The main fields of study in their work include:

Computer Science
Engineering

Subfields of study encompass:

Computer Vision and Pattern Recognition
Artificial Intelligence
Control and Systems Engineering
Computer Networks and Communications
Aerospace Engineering

The core topics of research are:

Robotic Path Planning Algorithms
Robot Manipulation and Learning
AI-based Problem Solving and Planning
Reinforcement Learning in Robotics
Human Pose and Action Recognition
Machine Learning and Algorithms
Robotics and Sensor-Based Localization

Marc Toussaint has authored multiple papers published in a range of venues. Selected recent papers include:

"PaLM-E: An Embodied Multimodal Language Model" (2023), arXiv (Cornell University)
"Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly" (2022), IEEE Transactions on Robotics
"MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets" (2021), IEEE Robotics and Automation Letters
"Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning" (2020), IEEE Robotics and Automation Letters
"From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence" (2021), arXiv (Cornell University)

Frequent publication venues for Toussaint include:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IEEE Transactions on Robotics
The International Journal of Robotics Research

Their work features collaboration with several coauthors such as:

Andreas Orthey
Danny Driess
Joaquim Ortiz-Haro
Valentin N. Hartmann
Ozgur S. Oguz

Best Publications

PaLM-E: An Embodied Multimodal Language Model

Unknown

844
Citations
Using Machine Learning to Focus Iterative Optimization

F. Agakov;E. Bonilla;J. Cavazos;B. Franke

530
Citations
Probabilistic inference for solving discrete and continuous state Markov Decision Processes

Marc Toussaint;Amos Storkey

513
Citations
Robot trajectory optimization using approximate inference

Marc Toussaint

382
Citations
Planning as inference

Matthew Botvinick;Marc Toussaint

372
Citations
Extracting Motion Primitives from Natural Handwriting Data

Ben H. Williams;Marc Toussaint;Amos J. Storkey

280
Citations
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.

Marc Toussaint;Kelsey R. Allen;Kevin A. Smith;Joshua B. Tenenbaum

280
Citations
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference

Konrad Rawlik;Marc Toussaint;Sethu Vijayakumar

257
Citations
Logic-geometric programming: an optimization-based approach to combined task and motion planning

Marc Toussaint

222
Citations
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress

Manuel Lopes;Tobias Lang;Marc Toussaint;Pierre-yves Oudeyer

197
Citations
Multi-class image segmentation using conditional random fields and global classification

Nils Plath;Marc Toussaint;Shinichi Nakajima

197
Citations
Gaussian process implicit surfaces for shape estimation and grasping

Stanimir Dragiev;Marc Toussaint;Michael Gienger

196
Citations
A No-Free-Lunch Theorem for Non-Uniform Distributions of Target Functions

Christian Igel;Marc Toussaint

166
Citations
Probabilistic inference as a model of planned behavior.

Marc Toussaint

153
Citations
On classes of functions for which No Free Lunch results hold

Christian Igel;Marc Toussaint

137
Citations
Hierarchical POMDP controller optimization by likelihood maximization

Marc Toussaint;Laurent Charlin;Pascal Poupart

117
Citations
Probabilistic inference for solving (PO) MDPs

Marc Toussaint;Stefan Harmeling;Amos Storkey

110
Citations
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations:

Peter Englert;Ngo Anh Vien;Marc Toussaint

105
Citations
Safe Exploration for Active Learning with Gaussian Processes

Jens Schreiter;Duy Nguyen-Tuong;Mona Eberts;Bastian Bischoff

95
Citations
Learning model-free robot control by a Monte Carlo EM algorithm

Nikos Vlassis;Marc Toussaint;Georgios Kontes;Savas Piperidis

94
Citations
Probabilistic Recurrent State-Space Models

Andreas Doerr;Christian Daniel;Martin Schiegg;Duy Nguyen-Tuong

81
Citations
International Joint Conference in Artificial Intelligence (IJCAI)

Konrad Rawlik;Marc Toussaint;Sethu Vijayakumar

52
Citations
Proc. of the 19th. International Joint Conference on Artificial Intelligence (IJCAI'05)

M. Toussaint;Sethu Vijayakumar

24
Citations

Frequent Co-Authors

Sethu Vijayakumar University of Edinburgh

Manuel Lopes Instituto Superior Técnico

Christian Igel University of Copenhagen

Stefan Schaal Google (United States)

Michael Gienger Honda (Japan)

Amos Storkey University of Edinburgh

Pascal Poupart University of Waterloo

Oliver Brock Technical University of Berlin

Wolfgang Maass Graz University of Technology

Shlomo Zilberstein University of Massachusetts Amherst

External Links

Personal website of Marc Toussaint Google Scholar page

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