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Hi there, I am Arpit 👋

and I am a full-stack 🤖 Roboticist and AI researcher with a strong passion for Physics-based rendering. Broadly, I am interested in 🦾 robotic manipulation and Machine Learning.

  • As a Ph.D. candidate at Carnegie Mellon University, I work at the intersection of Tactile sensing, robotic simulation and physics-based rendering.
  • Prior to joining Ph.D. program, I was a Research & Development Enginner at Nvidia working on Simulation Technology team. I worked on Sim2Real transfer techniques for robotic manipulation and quadruped robot.

If you are interested in more details about my publications, check out my website! If you like to get in touch feel free to say hi here or on Twitter.

Arpit Agarwal's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

caustics-pathcut icon caustics-pathcut

Core code of the paper "Unbiased Caustics Rendering Guided by Representative Specular Paths".

colladatoxml icon colladatoxml

converts environments scenes written collada into tellmedave format for direct use in tellmedave algorithm

dagamendment icon dagamendment

The official implementation of the research paper "DAG Amendment for Inverse Control of Parametric Shapes"

docs icon docs

contains glimpse of private projects

dqn icon dqn

DQN implementation in Keras + TensorFlow + OpenAI Gym

drmlt-mitsuba icon drmlt-mitsuba

Delayed Rejection Metropolis Light Transport (PSSMLT & MMLT Applications)

emca icon emca

EMCA: Explorer of Monte Carlo based Algorithms

enoki icon enoki

Enoki: structured vectorization and differentiation on modern processor architectures

gmsh icon gmsh

Live clone of http://gitlab.onelab.info/gmsh/gmsh.

gps icon gps

Guided Policy Search

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

ies icon ies

Convert the IES file into a IES texture for IES lightning

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