Developed an intuitive method for replicable, real-world scenes of objects for robot benchmarking
Implemented scene generation pipeline in simulation with focus on cluttered but graspable scenes
Extened 10 existing methods across pose estimation, segmentation and grasping for real world experiments
Submodular Information Measures | Robust Machine Learning
Proposed novel information theoretic measures for submodular set functionsin context for robust machine learning
Theoretical properties backed up with applications on outlier aware subsets, summarization & clustering tasks
Follow up works demonstrated computer vision applications in active learning for object detection
Virtepex | Remote Strength Assessment
Design and development of a mixed reality system in Unity for Kinect-based force estimation of body movements
Utilized Kinect to track body joints and an inverse dynamics solver to infer force/torque estimates for an user
Relevant Publications
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features, In IEEE International Conference on Robotics and Automation (ICRA) 2024.
SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes, In IEEE International Conference on Robotics and Automation (ICRA) 2024.
CIS2VR: CNN-based Indoor Scan to VR Environment Authoring Framework, In IEEE International Conference on AI & extended and Virtual Reality (AIxVR) 2024.
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. In Robotics: Science and Systems (RSS), 2023.
Skeletal Point Representations with Geometric Deep Learning. In IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. In Conference on Robot Learning (CoRL), 2022.
Virtepex: Virtual Remote Tele-Physical Examination System. In ACM SIGCHI Conference on Designing Interactive Systems (DIS), 2022.
Submodular combinatorial information measures with applications in machine learning. In International Conference on Algorithmic Learning Theory (ALT), 2021.
Other Experience
Professional Service:
Reviewer for CoRL, ICRA, IROS, IEEE VR, ACM MM, ICMR, ICHI, IJCAI (external reviewer)
Teaching Assistant: Machine Learning, Robotics, Computer Graphics, NLP, Statistics for Data Science
Mentorship: Peer mentor for new PhD students at UT-Dallas and member of Counselling Service at IIT Kanpur
Course Projects
Faster Inference for Chow-Liu Trees | Machine Learning
Developed approximation algorithms for faster inference in Chow-Liu tree probabilistic graphical model
Tried out sub-quadratic variants for minimum weight spanning tree computation & compared with optimal setting
Data Subset Selection | Optimization Algorithms
Framed subset selection from training data as an optimization problem with minimal impact on validation loss
Utilized gradient approximation scheme to show utility on logistic regression and neural network models
Academic Achievements
Recipient of Inspire scholarship awarded by Indian Govt. for academic performance at IIT Kanpur.
Awarded the Mitacs Globalink scholarship for fully funded summer research internship in Canada.
Secured a percentile score of 97.7 in JEE (Advanced)-2013 and a percentile score of 99.8 in JEE (Main)-2013 national engineering entrance examinations.