2026 Maya Cakmak: 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	40	9240	8973	3933	3770	133	7545

Overview

Maya Cakmak is affiliated with the University of Washington in the United States. Their research spans several fields including Computer Science, Engineering, and Psychology, with notable subfields in Control and Systems Engineering, Human-Computer Interaction, Artificial Intelligence, Social Psychology, and Computer Vision and Pattern Recognition.

Their main research topics cover Social Robot Interaction and Human-Robot Interaction (HRI), Robot Manipulation and Learning, Innovative Human-Technology Interaction, Digital Mental Health Interventions, Multimodal Machine Learning Applications, Robotic Path Planning Algorithms, and Machine Learning and Algorithms.

Recent publications by Maya Cakmak include:

Algorithmic and Human Teaching of Sequential Decision Tasks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Exploring Teens as Robot Operators, Users and Witnesses in the Wild, 2020, Frontiers in Robotics and AI
Following Natural Language Instructions for Household Tasks With Landmark Guided Search and Reinforced Pose Adjustment, 2022, IEEE Robotics and Automation Letters
Immersive participatory design of assistive robots to support older adults, 2024, Ergonomics
Affordance-Aware Handovers With Human Arm Mobility Constraints, 2021, IEEE Robotics and Automation Letters

Maya Cakmak frequently publishes in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, the ACM/IEEE International Conference on Human-Robot Interaction (HRI), Frontiers in Robotics and AI, and the International Conference on Robotics and Automation (ICRA).

Co-authorship collaborations include researchers Dieter Fox, Elin A. Björling, Chris Paxton, Yu-Wei Chao, and Balakumar Sundaralingam, reflecting a pattern of collaborative work across multiple publications.

In addition to journal and conference articles, Maya Cakmak has contributed to book publications, notably with a publication by Springer Science+Business Media titled RoboCup 2021: Robot World Cup XXIV in 2022.

Best Publications

Power to the People: The Role of Humans in Interactive Machine Learning

Saleema Amershi;Maya Cakmak;W. Bradley Knox;Todd Kulesza

1100
Citations
To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control

Erol Şahin;Maya Çakmak;Mehmet R. Doğar;Emre Uğur

444
Citations
Toward seamless human-robot handovers

Kyle Strabala;Min Kyung Lee;Anca Dragan;Jodi Forlizzi

319
Citations
Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective

Baris Akgun;Maya Cakmak;Jae Wook Yoo;Andrea Lockerd Thomaz

305
Citations
Designing robot learners that ask good questions

Maya Cakmak;Andrea L. Thomaz

283
Citations
Toys that Listen: A Study of Parents, Children, and Internet-Connected Toys

Emily McReynolds;Sarah Hubbard;Timothy Lau;Aditya Saraf

247
Citations
Keyframe-based Learning from Demonstration Method and Evaluation

Baris Akgun;Maya Cakmak;Karl Jiang;Andrea Lockerd Thomaz

247
Citations
Designing Interactions for Robot Active Learners

Maya Cakmak;Crystal Chao;Andrea L Thomaz

217
Citations
Human preferences for robot-human hand-over configurations

Maya Cakmak;Siddhartha S. Srinivasa;Min Kyung Lee;Jodi Forlizzi

200
Citations
Supporting mental model accuracy in trigger-action programming

Justin Huang;Maya Cakmak

194
Citations
Vision-and-Dialog Navigation

Jesse Thomason;Michael Murray;Maya Cakmak;Luke Zettlemoyer

172
Citations
Using spatial and temporal contrast for fluent robot-human hand-overs

Maya Cakmak;Siddhartha S. Srinivasa;Min Kyung Lee;Sara Kiesler

160
Citations
Adaptive Coordination Strategies for Human-Robot Handovers

Chien-Ming Huang;Maya Cakmak;Bilge Mutlu

155
Citations
Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

S. S. Srinivasa;D. Berenson;M. Cakmak;A. Collet

153
Citations
RoboFlow: A flow-based visual programming language for mobile manipulation tasks

Sonya Alexandrova;Zachary Tatlock;Maya Cakmak

149
Citations
Characterizing the Design Space of Rendered Robot Faces

Alisa Kalegina;Grace Schroeder;Aidan Allchin;Keara Berlin

139
Citations
Computational Human-Robot Interaction

Andrea Thomaz;Guy Hoffman;Maya Cakmak

127
Citations
Transparent active learning for robots

Crystal Chao;Maya Cakmak;Andrea L. Thomaz

125
Citations
Robot Programming by Demonstration with Interactive Action Visualizations

Sonya Alexandrova;Maya Cakmak;Kaijen Hsiao;Leila Takayama

111
Citations
Algorithmic and human teaching of sequential decision tasks

Maya Cakmak;Manuel Lopes

110
Citations
Enabling Building Service Robots to Guide Blind People: A Participatory Design Approach

Shiri Azenkot;Catherine Feng;Maya Cakmak

96
Citations
Robot Programming by Demonstration with situated spatial language understanding

Maxwell Forbes;Rajesh P. N. Rao;Luke Zettlemoyer;Maya Cakmak

81
Citations

Frequent Co-Authors

Andrea L. Thomaz The University of Texas at Austin

Siddhartha S. Srinivasa University of Washington

Rajesh P. N. Rao University of Washington

Leila Takayama Robust.AI

Jodi Forlizzi Carnegie Mellon University

Dieter Fox University of Washington

Luke Zettlemoyer University of Washington

Sara Kiesler Carnegie Mellon University

Bilge Mutlu University of Wisconsin–Madison

Peter Stone The University of Texas at Austin

External Links

Personal website of Maya Cakmak Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online degrees can open up exciting and flexible career options in science and engineering. If you're considering a future in computer science, online programs can help you fast-track your studies. Discover the benefits of a computer science accelerated program and get into the workforce sooner with a quality education.

Many students also look to combine technology with a passion for the environment. An environmental science degree can lead to impactful careers in sustainability, policy, and applied research. For those interested in merging science and engineering, you might consider an online environmental engineering degree science and engineering for interdisciplinary roles in environmental protection and infrastructure development.

Technical fields like mechanical engineering are also in high demand. Earning an online mechanical engineering degree can prepare you for diverse industries, from robotics to automotive design. No matter which path you choose, online education offers flexibility and access to high-quality programs tailored for modern learners.