Ajinkya Jain

According to our database, Ajinkya Jain authored at least 9 papers between 2014 and 2024.

Collaborative distances:

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

2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.

Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

CoRR, 2024

2023

Efficient Online Learning of Contact Force Models for Connector Insertion.

Kevin Tracy, Zachary Manchester, Ajinkya Jain, Keegan Go, Stefan Schaal, Tom Erez, Yuval Tassa

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

2021

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.

Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, Scott Niekum

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Distributional Depth-Based Estimation of Object Articulation Models.

Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.

Ajinkya Jain, Rudolf Lioutikov, Scott Niekum

CoRR, 2020

Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty.

Ajinkya Jain, Scott Niekum

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics.

Ajinkya Jain, Scott Niekum

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2014

Unified Minimalistic Modeling of Piezoelectric Stack Actuators for Engineering Applications.

Ajinkya Jain, Rituparna Datta, Bishakh Bhattacharya

Proceedings of the Robot Intelligence Technology and Applications 3, 2014