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Abhinav JainUh-bin-uhv

(he/him)

PhD Candidate in Robotics

Professional Summary

Soon-to-be Ph.D. graduate in Robotics and AI researcher specializing in robotic mamipulation. Skilled in complex simulation design using Isaac Sim and Isaac Lab, and sim-to-real transfer for unstructured, real-world orchard environments. Expertise in creating novel RL algorithms, applying Deep Reinforcement Learning and Imitation Learning to deploy robust manipulation policies on physical robotic platforms. Recognized for research contributions in top-tier conferences (ICRA, CVPR, AAAI), with proven experience in synthetic data generation and training RL, generative AI, and Large Language Models (LLMs).

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Education

PhD Robotics, Minor in AI

2021
2026

Oregon State University

MS in Robotics, Minor in AI

2021
2026

Oregon State University

B.Tech Electronics and Communication Engineering

2016
2020

Sardar Vallabhbhai National Institute of Technology

Interests

Deep Reinforcement Learning Imitation Learning Sim-to-Real Transfer Dexterous Manipulation Synthetic Data Generation Agricultural Robotics Computer Vision Large Language Models

🤖 Robots in Action

Robotic Tree Pruning (ICRA 2025) — Visuomotor controller guiding a UR5 to prune branches in a real V-Trellis apple orchard, zero-shot transfer from simulation.

📚 My Research

I am a roboticist and AI researcher with hands-on experience in designing complex simulations for generating synthetic robot data. I excel in simulation tools such as Pybullet, Isaac Lab, and Newton Physics Engine. Using these simulations, I have applied Deep Reinforcement Learning and Imitation Learning with applications in robotic control. I have developed and deployed learning-based control policies on real robotic systems. My research contributions have been recognized in top-tier conferences, including ICRA, CVPR, and AAAI. Furthermore, I have experience with training LLMs and generative models.

Featured Publications

Recent Publications

Abhinav Jain, Cindy Grimm, Stefan Lee (2025). Learning to Prune Branches in Modern Tree-Fruit Orchards. 2025 IEEE International Conference on Robotics and Automation (ICRA).

PDF arXiv Video DOI

Tieqiao Wang, Abhinav Jain, Sinisa Todorovic, Cindy Grimm (2024). A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards. CVPR V4A Workshop (Vision for agriculture).

PDF DOI

Deanna Flynn, Abhinav Jain, Heather Knight, Christina G. Wilson, Cindy Grimm (2024). Integrating Stakeholder Perspectives into Robot Pruning Designs. In review.

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Abhinav Jain, Cindy Grimm, Stefan Lee (2024). Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning. In review.

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Abhinav Jain

Equal Contribution