2026 Alberto Rodriguez: 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	43	7921	7694	3415	3286	118	8739

Overview

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:

iNeRF: Inverting Neural Radiance Fields for Pose Estimation, 2021, presented at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
TossingBot: Learning to Throw Arbitrary Objects With Residual Physics, 2020, published in IEEE Transactions on Robotics
Cable manipulation with a tactile-reactive gripper, 2021, featured in The International Journal of Robotics Research
GelSlim 3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger, 2022, presented at the 2022 International Conference on Robotics and Automation (ICRA)
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward, 2020, published in Proceedings of the National Academy of Sciences

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.

Best Publications

Analysis and Observations From the First Amazon Picking Challenge

Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

569
Citations
Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning

Andy Zeng;Shuran Song;Stefan Welker;Johnny Lee

542
Citations
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

522
Citations
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching:

Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

489
Citations
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

Andy Zeng;Kuan-Ting Yu;Shuran Song;Daniel Suo

474
Citations
TossingBot: Learning to Throw Arbitrary Objects With Residual Physics

Andy Zeng;Shuran Song;Johnny Lee;Alberto Rodriguez

375
Citations
iNeRF: Inverting Neural Radiance Fields for Pose Estimation

Lin Yen-Chen;Pete Florence;Jonathan T. Barron;Alberto Rodriguez

365
Citations
Extrinsic dexterity: In-hand manipulation with external forces

Nikhil Chavan Dafle;Alberto Rodriguez;Robert Paolini;Bowei Tang

338
Citations
From caging to grasping

Alberto Rodriguez;Matthew T Mason;Steve Ferry

299
Citations
GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger

Elliott Donlon;Siyuan Dong;Melody Liu;Jianhua Li

284
Citations
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Unknown

263
Citations
Cable manipulation with a tactile-reactive gripper:

Yu She;Shaoxiong Wang;Siyuan Dong;Neha Sunil

205
Citations
GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger.

Ian Taylor;Siyuan Dong;Alberto Rodriguez

200
Citations
More than a million ways to be pushed. A high-fidelity experimental dataset of planar pushing

Kuan-Ting Yu;Maria Bauza;Nima Fazeli;Alberto Rodriguez

173
Citations
Dense Tactile Force Estimation using GelSlim and inverse FEM

Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez

152
Citations
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward.

Hee Sun Choi;Cindy Crump;Christian Duriez;Asher Elmquist

143
Citations
See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion

N. Fazeli;M. Oller;J. Wu;Z. Wu

125
Citations
Prehensile pushing: In-hand manipulation with push-primitives

Nikhil Chavan-Dafle;Alberto Rodriguez

125
Citations
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing

Anurag Ajay;Jiajun Wu;Nima Fazeli;Maria Bauza

110
Citations
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations

Francois R. Hogan;Maria Bauza;Oleguer Canal;Elliott Donlon

103
Citations
A probabilistic data-driven model for planar pushing

Maria Bauza;Alberto Rodriguez

96
Citations
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Siyuan Dong;Devesh K. Jha;Diego Romeres;Sangwoon Kim

70
Citations
Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM.

Daolin Ma;Elliott Donlon;Siyuan Dong;Alberto Rodriguez

16
Citations

Frequent Co-Authors

Matthew T. Mason Carnegie Mellon University

Shuran Song Stanford University

Joshua B. Tenenbaum MIT

Leslie Pack Kaelbling MIT

Thomas Funkhouser Google (United States)

Tomas Lozano-Perez MIT

Siddhartha S. Srinivasa University of Washington

Jiajun Wu Stanford University

Edward H. Adelson MIT

Oliver Brock Technical University of Berlin

External Links

Personal website of Alberto Rodriguez

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