David B. D'Ambrosio

28 papers A* 3A 5C 1Misc 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA 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
2025	A*	`conf`	Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. ICRA Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay
2025	A*	`conf`	SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. ICRA Heni Ben Amor, Laura Graesser, Atil Iscen, David B. D'Ambrosio, Saminda Abeyruwan, Alex Bewley, Yifan Zhou, Kamalesh Kalirathinam, Swaroop Mishra, Pannag Sanketi
2025	J	`jnl`	SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. CoRR Heni Ben Amor, Laura Graesser, Atil Iscen, David B. D'Ambrosio, Saminda Abeyruwan, Alex Bewley, Yifan Zhou, Kamalesh Kalirathinam, Swaroop Mishra, Pannag Sanketi
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR 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
2024	J	`jnl`	Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. CoRR Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay
2023	—	`conf`	Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC 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
2023	J	`jnl`	Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023	—	`conf`	Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 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
2023	J	`jnl`	Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR 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
2022	J	`jnl`	GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. CoRR Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch
2022	A	`conf`	Learning High Speed Precision Table Tennis on a Physical Robot. IROS Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch
2022	Misc	`conf`	i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRL Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi
2022	J	`jnl`	i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi
2019	J	`jnl`	SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
2016	J	`jnl`	Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2014	—	`ch.`	HyperNEAT: The First Five Years. Growing Adaptive Machines David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley
2013	J	`jnl`	Encouraging reactivity to create robust machines. Adapt. Behav. Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2013	J	`jnl`	Scalable multiagent learning through indirect encoding of policy geometry. Evol. Intell. David B. D'Ambrosio, Kenneth O. Stanley
2012	—	`conf`	Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2012	—	`conf`	Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2012	C	`conf`	Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2011	J	`jnl`	Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space. Evol. Comput. Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley
2011	A	`conf`	Task switching in multirobot learning through indirect encoding. IROS David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2010	A	`conf`	Evolving policy geometry for scalable multiagent learning. AAMAS David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2009	J	`jnl`	A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. Artif. Life Kenneth O. Stanley, David B. D'Ambrosio, Jason Gauci
2008	A	`conf`	Generative encoding for multiagent learning. GECCO David B. D'Ambrosio, Kenneth O. Stanley
2007	A	`conf`	A novel generative encoding for exploiting neural network sensor and output geometry. GECCO David B. D'Ambrosio, Kenneth O. Stanley