Ajinkya Jain

Roboticist with extensive research and teaching experience

Ajinkya Jain is a Senior Software Engineer at Intrinsic, an Alphabet company, where he is involved in research and development focusing on robotics. His work primarily explores the integration of artificial intelligence (AI) and machine learning (ML) with robot motion planning and control. He aims to develop methods that enable robots to perform dexterous manipulation tasks effectively, even in uncertain environments.1 2

Education and Career Background

Ajinkya Jain holds a Ph.D. in Mechanical Engineering from the University of Texas at Austin, where he conducted research under the guidance of professors Scott Niekum and Ashish Deshpande. His doctoral studies emphasized learning algorithms for robots, particularly in acquiring object interaction models from visual data and creating robust motion planners for manipulation tasks.2

Before his current role at Intrinsic, Jain worked as a roboticist at Vicarious and completed a graduate research assistantship at the University of Texas at Austin. He has also interned at the Samsung AI Research Center, where he developed training pipelines for autonomous grasping behaviors.1 2

Skills and Research Interests

Jain's expertise includes:

Motion Planning
Model Learning
Deep Learning
Sim2Real techniques

His research interests lie in robot learning, dexterous manipulation, and optimal control, with a particular focus on developing scalable algorithms that can adapt to various robotic tasks and environments.1 2

Experience

Roboticist at Intrinsic since May 2022

Roboticist at Vicarious, Graduate Research Assistant at The University of Texas at Austin

Education

Ph.D. in Mechanical Engineering from The University of Texas at Austin, Master’s and Bachelor’s Degree in Mechanical Engineering from Indian Institute of Technology, Kanpur