Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting. - Sanskar Agrawal; Indu Kant Deo; Siddhant Haldar; G. Rahul Kranti Kiran; Vaibhav Lodhi; Debashish Chakravarty (ICARCV, 2018)

Ground vehicle odometry using a non-intrusive inertial speed sensor. - Het Shah; Siddhant Haldar; Rohit Ner; Siddharth Jha; Debashish Chakravarty (ICIT, 2019)

Design and Implementation of Autonomous Ground Vehicle for Constrained Environments. - G. Rahul Kranti Kiran; Indu Kant Deo; Sanskar Agrawal; Siddhant Haldar; Het Shah; Sohan Rudra; Harsh Maheshwari; Aditya Rathore; Poojan Shah; Ashwin Nehete; Debashish Chakravarty (IRC, 2019)

Lightweight Modules for Efficient Deep Learning Based Image Restoration. - Avisek Lahiri; Sourav Bairagya; Sutanu Bera; Siddhant Haldar; Prabir Kumar Biswas (IEEE Trans. Circuits Syst. Video Technol., 2021)

Watch and Match: Supercharging Imitation with Regularized Optimal Transport. - Siddhant Haldar; Vaibhav Mathur; Denis Yarats; Lerrel Pinto (CoRL, 2022)

Network embeddings from distributional thesauri for improving static word representations. - Abhik Jana; Siddhant Haldar; Pawan Goyal 002 (Expert Syst. Appl., 2022)

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. - Siddhant Haldar; Jyothish Pari; Anant Rai; Lerrel Pinto (Robotics: Science and Systems, 2023)

PolyTask: Learning Unified Policies through Behavior Distillation. - Siddhant Haldar; Lerrel Pinto (CoRR, 2023)

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation. - Aadhithya Iyer; Zhuoran Peng; Yinlong Dai; Irmak Güzey; Siddhant Haldar; Soumith Chintala; Lerrel Pinto (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control. - Zichen Jeff Cui; Hengkai Pan; Aadhithya Iyer; Siddhant Haldar; Lerrel Pinto (NeurIPS, 2024)

BAKU: An Efficient Transformer for Multi-Task Policy Learning. - Siddhant Haldar; Zhuoran Peng; Lerrel Pinto (NeurIPS, 2024)

Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins. - Venkatesh Pattabiraman; Yifeng Cao; Siddhant Haldar; Lerrel Pinto; Raunaq M. Bhirangi (CoRR, 2024)

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies. - Mara Levy; Siddhant Haldar; Lerrel Pinto; Abhinav Shirivastava (CoRR, 2024)

Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation. - Siddhant Haldar; Lerrel Pinto (CoRR, 2025)

Feel the Force: Contact-Driven Learning from Humans. - Ademi Adeniji; Zhuoran Chen; Vincent Liu; Venkatesh Pattabiraman; Raunaq M. Bhirangi; Siddhant Haldar; Pieter Abbeel; Lerrel Pinto (CoRR, 2025)

Touch begins where vision ends: Generalizable policies for contact-rich manipulation. - Zifan Zhao; Siddhant Haldar; Jinda Cui; Lerrel Pinto; Raunaq M. Bhirangi (CoRR, 2025)