A new perspective to the keepaway soccer: the takers. - Atil Iscen; Umut Erogul (AAMAS (3), 2008)

Learning to control complex tensegrity robots. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (AAMAS, 2013)

Decentralized coordination via task decomposition and reward shaping. - Atil Iscen; Kagan Tumer (AAMAS, 2013)

Controlling tensegrity robots through evolution. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (GECCO, 2013)

Design and evolution of a modular tensegrity robot platform. - Jonathan Bruce; Ken Caluwaerts; Atil Iscen; Andrew P. Sabelhaus; Vytas SunSpiral (ICRA, 2014)

Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (IROS, 2014)

Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. - Atil Iscen; Ken Caluwaerts; Jonathan Bruce; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (Artif. Life, 2015)

Policies Modulating Trajectory Generators. - Atil Iscen; Ken Caluwaerts; Jie Tan 001; Tingnan Zhang; Erwin Coumans; Vikas Sindhwani; Vincent Vanhoucke (CoRL, 2018)

Optimizing Simulations with Noise-Tolerant Structured Exploration. - Krzysztof Choromanski; Atil Iscen; Vikas Sindhwani; Jie Tan 001; Erwin Coumans (ICRA, 2018)

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. - Jie Tan 001; Tingnan Zhang; Erwin Coumans; Atil Iscen; Yunfei Bai; Danijar Hafner; Steven Bohez; Vincent Vanhoucke (Robotics: Science and Systems, 2018)

NoRML: No-Reward Meta Learning. - Yuxiang Yang 007; Ken Caluwaerts; Atil Iscen; Jie Tan 001; Chelsea Finn (AAMAS, 2019)

Provably Robust Blackbox Optimization for Reinforcement Learning. - Krzysztof Choromanski; Aldo Pacchiano; Jack Parker-Holder; Yunhao Tang; Deepali Jain; Yuxiang Yang 007; Atil Iscen; Jasmine Hsu; Vikas Sindhwani (CoRL, 2019)

Data Efficient Reinforcement Learning for Legged Robots. - Yuxiang Yang 007; Ken Caluwaerts; Atil Iscen; Tingnan Zhang; Jie Tan 001; Vikas Sindhwani (CoRL, 2019)

Hierarchical Reinforcement Learning for Quadruped Locomotion. - Deepali Jain; Atil Iscen; Ken Caluwaerts (IROS, 2019)

When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. - Krzysztof Choromanski; Aldo Pacchiano; Jack Parker-Holder; Jasmine Hsu; Atil Iscen; Deepali Jain; Vikas Sindhwani (CoRR, 2019)

From pixels to legs: Hierarchical learning of quadruped locomotion. - Deepali Jain; Ken Caluwaerts; Atil Iscen (CoRL, 2020)

Zero-Shot Terrain Generalization for Visual Locomotion Policies. - Alejandro Escontrela; George Yu; Peng Xu 010; Atil Iscen; Jie Tan 001 (CoRR, 2020)

Disentangled Planning and Control in Vision Based Robotics via Reward Machines. - Alberto Camacho; Jacob Varley; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (CoRR, 2020)

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. - Wenhao Yu 003; Deepali Jain; Alejandro Escontrela; Atil Iscen; Peng Xu 010; Erwin Coumans; Sehoon Ha; Jie Tan 001; Tingnan Zhang (CoRL, 2021)

Reward Machines for Vision-Based Robotic Manipulation. - Alberto Camacho; Jacob Varley; Andy Zeng 001; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (ICRA, 2021)

Learning Agile Locomotion Skills with a Mentor. - Atil Iscen; George Yu; Alejandro Escontrela; Deepali Jain; Jie Tan 001; Ken Caluwaerts (ICRA, 2021)

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. - Alejandro Escontrela; Xue Bin Peng; Wenhao Yu 003; Tingnan Zhang; Atil Iscen; Ken Goldberg; Pieter Abbeel (IROS, 2022)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Prosody for Intuitive Robotic Interface Design: It's Not What You Said, It's How You Said It. - Elaheh Sanoubari; Atil Iscen; Leila Takayama; Stefano Saliceti; Corbin Cunningham; Ken Caluwaerts (CoRR, 2024)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. - Heni Ben Amor; Laura Graesser; Atil Iscen; David B. D'Ambrosio; Saminda Abeyruwan; Alex Bewley; Yifan Zhou; Kamalesh Kalirathinam; Swaroop Mishra; Pannag Sanketi (CoRR, 2025)