Hi, I’m Aryaman

PhD student at University of Southern California (USC) and graduate of Indian Institute of Technology (BHU), Varanasi. Check my recent Research.

I'm working with Prof. Somil Bansal at SIAL,USC on Providing Safety Assurances in Learning-Baed Controls for Autonomous Systems.

I've previously worked with Prof. Hashim Mohamed on Deep-RL Based Docking Mechanism for VTOL UAVs on Offshore Platforms.

My research is focussed on developing Safe Learning-Based Controls for Autonomous Agents in Safety-Critical Applications.

News

[Oct 2024] : My paper on efficient data routing in small-world IoT networks got accepted into IEEE ANTS 2024.
[Sept 2024] : New paper on enhancing safety and robustness of vision-based controllers via reachability analysis submitted to IEEE T-RO.
[Aug 2024] : Started Ph.D. in Electrical Engineering at University of Southern California (USC).
[July 2024] : New paper on efficient data routing in small-world IoT networks submitted to IEEE ANTS 2024.
[June 2024] : My paper on drone docking on offshore platforms using deep-RL got accepted to Applied Soft Computing Journal.
[May 2024] : Presented my paper on mitigating system-level failures in visual controllers at ICRA 2024 in Yokohama, Japan.
[May 2024] : Graduated from Indian Institute of Technology (IIT BHU) with major in Electronics Engineering.
[Jan 2024] : My paper on mitigating system-level failures in visual controllers got accepted into ICRA 2024.
[Jan 2024] : Attended Research Week with Google 2024 at Google Research India, Bengaluru.
[May 2023] : Started Research Internship at SIA Lab, University of Southern California.
[Jan 2023] : Started Research Internship at RNCSL, Carleton University.
[Dec 2022] : Appointed as Tech Lead of RoboReG (Robotics Research Group) of IIT BHU.
[May 2022] : Started Research Internship at RBBCPS, IISc.
[Mar 2022] : Started Research Internship at VAIL, CWNU.
[Nov 2020] : Started B.Tech. in Electronics Engineering at Indian Institute of Technology (IIT BHU).

Publications

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers

Aryaman Gupta, Kaustav Chakraborty, Somil Bansal
IEEE International Conference on Robotics and Automation (ICRA) 2024

Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis

Kaustav Chakraborty, Aryaman Gupta, Somil Bansal
IEEE Transactions on Robotics (T-RO) (Under Review)

Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations

Ali Mohamed Ali, Aryaman Gupta, Hashim A.Hashim
Applied Soft Computing Journal

Node Fault Prediction Assisted Small-World IoT Networks Using ML Frameworks: Towards Performance Improvement

Neha Sharma, Aryaman Gupta, Sivala Deepak, Om Jee Pandey
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2024

Education

University of Southern California

Doctor of Philosophy (Ph.D.) | Electrical Engineering | August 2024 - Present
Working with Prof. Somil Bansal at SIA Lab on performing runtime safety monitoring for output-feedback policies in autonomous systems.

Indian Institute of Technology (BHU) Varanasi

Bachelor of Technology (B.Tech.) | Electronics Engineering | November 2020 - May 2024
Completed bachelor thesis under Prof. Om Jee Pandey on efficient data routing in optimal small-world wireless sensor networks using deep-RL.

Experience

University of Southern California

Research Intern | Prof. Somil Bansal | May 2023 - August 2024
Worked on mitigating system-level failures of vision-based controllers in aircraft taxiing and ground robot navigation tasks using reachability analysis.

Carleton University

Research Intern | Dr. Hashim Mohamed | Jan 2023 - Dec 2023
Worked on developing a deep-RL based docking mechanism for VTOL UAVs on offshore platforms.

Indian Institute of Science

Research Intern | Dr. Bharadwaj Amrutur | May 2022 - July 2022
Worked on multi-agent exploration using RRT-based methods and dynamic obstacle avoidance using 3D object detection.

Changwon National University

Research Intern | Dr. Oh-Seol Kwon | Mar 2022 - July 2022
Worked on combining Faster R-CNN and Edge Enhanced SRGAN architectures for enhanced object detection in low resolution aerial images.