Graduate Research Showcase
A TedX-like event where I presented my robotics research on tree pruning and dexterous manipulation.
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).
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.
Field Trials — Field trials of a simulation learned visuomotor policy using RL.
Orchard Simulation — Simulation of an apple fruiting system using AVBD solver.
Stochastic Growth Model — Stochastic growth of trees for Envy Apple orchards.
Robocon 2018 — League Match: Sanjavini COE vs SVNIT, Surat.
Robotic Tree Pruning — The robot that learned to prune trees.
Field Trials — Field trials of a simulation learned visuomotor policy using RL.
Orchard Simulation — Simulation of an apple fruiting system using AVBD solver.
Stochastic Growth Model — Stochastic growth of trees for Envy Apple orchards.
Robocon 2018 — League Match: Sanjavini COE vs SVNIT, Surat.
Robotic Tree Pruning — The robot that learned to prune trees.
Fetch Robot Scavenger Hunt — Industrial Fetch Robot autonomously completing a scavenger hunt.
📚 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
(2025).
Learning to Prune Branches in Modern Tree-Fruit Orchards.
2025 IEEE International Conference on Robotics and Automation (ICRA).
(2024).
A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards.
CVPR V4A Workshop (Vision for agriculture).
(2024).
Integrating Stakeholder Perspectives into Robot Pruning Designs.
In review.
Recent & Upcoming Talks
Projects & Fun Stuff
Predicting Upcoming Coronavirus Hotspots
A blog post on Analytics Vidhya about predicting COVID-19 hotspots.
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1 min read