Hi, I'm Aryaman

I am a PhD student at Stanford University in the Department of Aeronautics and Astronautics Engineering. I feel grateful to be advised by Prof. Somil Bansal in the SIA Lab. Prior to this, I spent four amazing years at IIT (BHU) Varanasi pursuing B.Tech. in Electronics Engineering. Check my recent research here.

My research focuses on learning from deployment-time data to uncover failure patterns in robotic systems for continuous improvement. I aim to: (a) bake safety mechanisms into their design (b) ensure reliable & efficient operation at runtime through lightweight guardrails.

News

[June 2025] : Presented my paper on MLLM-based failure interpretability at OOD Generalization and Robot Evaluation Workshops at RSS 2025.
[June 2025] : New paper on MLLM-based semantic interpretation of robotic failure data is out on arxiv.
[Jan 2025] : Started Ph.D. in Aeronautics and Astronautics at Stanford University.
[Oct 2024] : My paper on efficient data routing in small-world IoT networks got accepted into IEEE ANTS 2024 and won Best Paper Award.
[Sept 2024] : New paper on enhancing safety and robustness of vision-based controllers via reachability analysis submitted to IEEE T-RO.
[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

From Perception Logs to Failure Modes: Language-Driven Semantic Clustering of Failures for Robot Safety
Aryaman Gupta*, Yusuf Umut Ciftci*, Somil Bansal
arXiv, 2025
[PDF] [Website] [Video] [Code]

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
[PDF] [Website] [Video] [Code]

Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty, Aryaman Gupta, Somil Bansal
arXiv, 2024
[PDF] [Website] [Video]

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
[PDF] [Website] [Code]

Node Fault Prediction Assisted Small-World IoT Networks Using ML Frameworks: Towards Performance Improvement
Neha Sharma, Aryaman Gupta, Sivala Deepak, Om Jee Pandey [Best Paper Award]
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2024
[PDF] [Website] [Code]

*Equal Contribution

Education

Stanford University

Doctor of Philosophy (Ph.D.) | Aeronautics and Astronautics | January 2025 - Present
Working with Prof. Somil Bansal at SIA Lab on failure-guided closed-loop learning, lightweight runtime guardrails, and safety alignment of large generalist policies.

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 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.