Index
Publications
Peer-reviewed research in robotics, control, and automated assembly. Each entry links to the paper, along with a preprint, video, or code where available.
2026
FAST: Action-aware Feasibility in Assembly Sequence Planning using Graph Transformer
† Shared first authorship
2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Accepted
A Graph Transformer predicts whether a disassembly action is physically feasible, letting an assembly-sequence planner learn from failed actions and run end-to-end on a real robot.
2025
Collision-Free Trajectory Planning in Cluttered Environments for Efficient Bin Picking
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
A point-cloud-based perception and planning pipeline finds collision-free trajectories, verifies them in a digital twin, and executes them with a robot arm.
Automated Assembly Picking System for Cluttered Environments with Live Collision-Free Trajectory Planning
2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)
An assembly-picking system combines sequence planning, object detection, 3D pose estimation, trajectory planning, and digital-twin verification.
2023
Scalable Distributed Controller Synthesis for Multi-Agent Systems Using Barrier Functions and Symbolic Control
2023 62nd IEEE Conference on Decision and Control (CDC)
A bottom-up synthesis method combines symbolic controllers and barrier functions to enforce local temporal-logic goals together with global safety.
Autonomous Exploration Using Ground Robots with Safety Guarantees
† Equal contribution
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
A 2D exploration framework combines frontier selection and symbolic control while accounting for robot dynamics, practical constraints, noise, and modelling uncertainty.
2022
Funnel-based Reachability Control of Unknown Nonlinear Systems Using Gaussian Processes
† Equal contribution
2022 Eighth Indian Control Conference (ICC)
Gaussian processes approximate unknown nonlinear dynamics with a probabilistic bound before a funnel-based reachability controller is synthesized.