David B. D'Ambrosio

According to our database, David B. D'Ambrosio authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance.

Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay

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, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi

CoRR, 2024

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, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Agile Catching with Whole-Body MPC and Blackbox Policy Learning.

Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot.

Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch

CoRR, 2022

Learning High Speed Precision Table Tennis on a Physical Robot.

Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.

Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi

Proceedings of the Conference on Robot Learning, 2022

2019

SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong.

Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly

CoRR, 2019

2016

Petalz: Search-Based Procedural Content Generation for the Casual Gamer.

Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley

IEEE Trans. Comput. Intell. AI Games, 2016

2014

HyperNEAT: The First Five Years.

David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley

Proceedings of the Growing Adaptive Machines, 2014

2013

Scalable multiagent learning through indirect encoding of policy geometry.

David B. D'Ambrosio, Kenneth O. Stanley

Evol. Intell., 2013

Encouraging reactivity to create robust machines.

Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley

Adapt. Behav., 2013

2012

Multirobot Behavior Synchronization through Direct Neural Network Communication.

David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley

Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise.

Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley

Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game.

Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley

Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2011

Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space.

Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley

Evol. Comput., 2011

Task switching in multirobot learning through indirect encoding.

David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Evolving policy geometry for scalable multiagent learning.

David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks.

Kenneth O. Stanley, David B. D'Ambrosio, Jason Gauci

Artif. Life, 2009

2008

Generative encoding for multiagent learning.

David B. D'Ambrosio, Kenneth O. Stanley

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

A novel generative encoding for exploiting neural network sensor and output geometry.

David B. D'Ambrosio, Kenneth O. Stanley

Proceedings of the Genetic and Evolutionary Computation Conference, 2007