Siddhant Haldar

I am a 4th year PhD student at the CILVR (Computational Intelligence, Learning, Vision and Robotics) group at the Courant Institute of Mathematical Sciences, New York University. I work with Prof. Lerrel Pinto and my research interests lie in the area of generalizable AI, with a focus on robotics and reinforcement learning.

Previously, I completed an Integrated Bachelor's and Masters Degree in Electrical Engineeing at Indian Institute of Technology (IIT), Kharagpur. My previous internships include working on multimodal policy learning at Nuro, causal inference at Microsoft Research and IBM Research, adversarial attacks with Prof. Atul Prakash at MIDAS, University of Michigan, and multimodal object detection with Prof. Zheng Liu at ISDPRL Lab, University of British Columbia. My Master's thesis was on the topic of action quality assessment (AQA) with Prof. Brendan Morris at RTIS Lab, University of Nevada, Las Vegas. I did my Bachelor's thesis on the topic of attention-guided video inpainting with Dr. Avisek Lahiri and Prof. Pabitra Mitra at IIT Kharagpur. I also worked on developing the perception and control system modules for self-driving cars at the Autonomous Ground Vehicle Lab, IIT Kharagpur under the supervision of Prof. Debashis Chakravarty. In my spare time, I enjoy hiking, reading and traveling.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

profile photo
Research
* denotes equal contribution
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar, Zhuoran Peng, Lerrel Pinto
NeurIPS 2024
project page / arXiv / code
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto
NeurIPS 2024
project page / arXiv / code
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
Aadhithya Iyer, Zhuoran Peng, Yinlong Dai, Irmak Guzey, Siddhant Haldar, Soumith Chintala, Lerrel Pinto
CoRL 2024
project page / arXiv / code

Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration,
ICRA 2024   (Best Paper Award)
project page / arXiv / code

PolyTask: Learning Unified Policies through Behavior Distillation
Siddhant Haldar, Lerrel Pinto
Under review
project page / arXiv / code

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar*, Jyothish Pari*, Anant Rai, Lerrel Pinto
RSS 2023   (Best Student Paper Award)
project page / arXiv / paper / code

Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto
CoRL 2022   (Oral Presentation, Best Paper Award Finalist)
project page / arXiv / paper / code

Network Embedding of Distributional Thesaurus Combined with Word Vectors Leads to Better Representation
Abhik Jana, Siddhant Haldar, Pawan Goyal
ESWA 2022
paper

Lightweight Modules for Efficient Deep Learning based Image Restoration
Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas
TCSVT 2020
arXiv / code

Design and Implementation of Autonomous Ground Vehicle for Constrained Environments
Siddhant Haldar et al
IRC 2019
paper

Ground Vehicle Odometry using a Non-Intrusive Inertial Speed Sensor
Het Shah*, Siddhant Haldar*, Rohit Ner*, Siddharth Jha*, Debashish Chakravarty
ICIT 2019
arXiv

Off-Road Lane Detection Using Superpixel Clustering And RANSAC Curve Fitting
Sanskar Agrawal*, Indu Kant Deo*, Siddhant Haldar*, G. Rahul Krantikiran*, Debashish Chakravarty
ICARCV 2018
paper

Teaching
Co-Instructor, CSCI-GA 3033: Deep Decision Making and Reinforcement Learning, Spring 2024
Teaching Assistant, CSCI-UA 473: Introduction to Machine Learning, Fall 2022
Blog Posts


Causal Inference : An Introduction
Gradient-based Adversarial Attacks : An Introduction

Yep! It's another Jon Barron template.