The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alberto Rodriguez sits on this spectrum.
This scientist: 118 publications — 14th percentile
14% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alberto Rodriguez sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Alberto Rodriguez is a researcher affiliated with MIT in the United States, contributing extensively to the fields of engineering and computer science. Their work spans multiple subfields, including control and systems engineering, computer vision and pattern recognition, biomedical engineering, cognitive neuroscience, and artificial intelligence.
The core focus of their research lies in robotics, with a strong emphasis on robot manipulation and learning. Other significant areas of study include tactile and sensory interactions, soft robotics and applications, robotic mechanisms and dynamics, robotic path planning algorithms, human pose and action recognition, and hand gesture recognition systems.
Recent publications demonstrate the scope and diversity of their research interests. Notable papers include:
Their frequent coauthors include Maria Bauzá, Siyuan Dong, Antonia Bronars, Sangwoon Kim, and Ian Taylor, reflecting ongoing collaborative efforts within the robotics community.
Alberto Rodriguez's research appears regularly in a diverse set of venues, notably arXiv, where they have 13 publications. Other frequent publication venues include The International Journal of Robotics Research with 5 papers, the 2022 International Conference on Robotics and Automation (ICRA) with 4 papers, Science Robotics with 2 papers, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) with 2 papers.
Their body of work integrates practical and theoretical aspects of robotics, addressing challenges related to manipulation, sensory feedback, and learning algorithms. This integration supports advances in both hardware capabilities and control strategies in robotic systems.
Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock
Andy Zeng;Shuran Song;Stefan Welker;Johnny Lee
Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon
Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon
Andy Zeng;Kuan-Ting Yu;Shuran Song;Daniel Suo
Andy Zeng;Shuran Song;Johnny Lee;Alberto Rodriguez
Lin Yen-Chen;Pete Florence;Jonathan T. Barron;Alberto Rodriguez
Nikhil Chavan Dafle;Alberto Rodriguez;Robert Paolini;Bowei Tang
Alberto Rodriguez;Matthew T Mason;Steve Ferry
Elliott Donlon;Siyuan Dong;Melody Liu;Jianhua Li
Unknown
Yu She;Shaoxiong Wang;Siyuan Dong;Neha Sunil
Ian Taylor;Siyuan Dong;Alberto Rodriguez
Kuan-Ting Yu;Maria Bauza;Nima Fazeli;Alberto Rodriguez
Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez
Hee Sun Choi;Cindy Crump;Christian Duriez;Asher Elmquist
N. Fazeli;M. Oller;J. Wu;Z. Wu
Nikhil Chavan-Dafle;Alberto Rodriguez
Anurag Ajay;Jiajun Wu;Nima Fazeli;Maria Bauza
Francois R. Hogan;Maria Bauza;Oleguer Canal;Elliott Donlon
Maria Bauza;Alberto Rodriguez
Siyuan Dong;Devesh K. Jha;Diego Romeres;Sangwoon Kim
Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez
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