First position: Genesys
Abe worked on autonomous navigation in unstructured environment, with his PhD mentor Mahmoud Ali. He published a 1st authored ICRA paper before he obtained his Bachalor degree in Spring 2024.
See his homepage here.
Mahmoud has been working on perception and navigation. His current project is about integration of perception, navigation, and exploration with Gaussian Processes.
Paul has been working on perception with camaras, radars as well as their various applications including autonomy. Paul is co-advised by Prof. David Crandall and Prof. Lantao Liu.
Hassan is working on perception and also motion planning methods. His recent work includes navigation of UGVs on rough terrains.
Khan is interested in visual perception for navigating mobile robots. He designed visual perception methods for autonomous pavement health inspection before joining the lab in Fall 23.
Ihab has been working on path integral control with applications on various autonomous platforms such as aerial, ground and manipulator robots.
Alejandro has research experience in vision based hybrid control and aerial image processing and learning. He is currently exploring reseach directions.
Durgakant's research interests include UAV design and control, as well as multi-robot systems (including UAV+UGV teaming and drone swarms).
Youwei Joined the lab in Fall 2023. In the past he worked on state estimation for ground vehicles. He is still exploring research areas.
Divya is a Master student joined the lab in Summer 2023. She is exploring research interest on deep learning and imitation learning of robot navigation.
Saeoul is a Master student joined the lab in Fall 2023. She is working on UI/UX design for our autonomy software.
Charan is a Master student joined the lab in Spring 2024. He has been working on web and interface design.
Zic is a Master student joined the lab in Fall 2023. She has been working on UI/UX design for our racecar.
First position: Genesys
Abe worked on autonomous navigation in unstructured environment, with his PhD mentor Mahmoud Ali. He published a 1st authored ICRA paper before he obtained his Bachalor degree in Spring 2024.
First position: Imagine Learning
Pragat worked with his PhD mentor Zheng Chen on generation of pixel-accurate semantic label maps from images acquired from a high-fidelity simulator, where the generated dataset is used for UGV autonomous driving.
First position: Palantir Technologies
Andrew worked on autonomous exploration of unknown environment with his PhD mentor Durgakant Pushp. He obtained his Bachalor degree in Spring 2024.
First position: OKSI
AJ worked on imitation learning applicable to UGV maneuver with his PhD mentor Junhong Xu. He obtained his Accelerated Master degree in Winter 2023.
First position: Mount Sinai
Nick joined the lab in Fall 2022 and obtained his Master's degree in Summer 2023. He worked on reinforcement learning applicable to UGV maneuver with his PhD mentor Ihab Mohamed.
First position: Research Software Developer at IU
Deepak joined the lab in Fall 2022. He worked on semantic map completion that can be used for navigating autonomous vehicles.
First position: NSWC-Crane
As a receipient of DoD SMART Scholarship, Adam's research interest has been the development and control of autonomous underwater vehicles, for both hardware and software. Adam obtained his Master degree in Spring 2023.
First position: Amazon
Manuja worked on a project of designing hardware and software systems of an autonomous underwater vehicle (AUV) since Fall 2019 and graduated with a Master degree in Spring 2021. She joined Amazon in Seattle after graduation.
First position: Bytedance
Shreyas worked on a project of designing hardware and software systems of an AUV since Fall 2019 and graduated with a Master degree in Spring 2021. Together with Manuja, Shreyas has led and mentored a few undergraduate students working on the AUV projects.
First position: Metron (Unmanned Systems Division)
Sam joined the lab in Fall 2019 and graduated with a Master degree in Fall 2020. Sam worked on decision-theoretic planning and integrated his background in Physics with robotics decision making.
First position: PhD student in Indiana University
Malintha's research project is to control a team of small aerial vehicles. His work combines high-level swarm coordination mechanisms (e.g., behaviors inspired from bird flocking) with low-level trajectory control.
First position: General Motors (as software engineer)
As an undergrad, Kristopher worked on building an autonomous underwater vehicle. Kristopher obtained his undergrad dgree from Indiana University.
First position: Uber (as machine learning engineer)
Rushabh worked on ground vehicle planning and learning with his research mentor Junhong Xu. Rushabh obtained his Masters' dgree from Indiana University.
First position: Unity (as computer vision/machine learning engineer)
Jay worked on data-driven planning with his research mentor Weizhe Chen. Jay got his Masters' dgree from Indiana University.
First position: Boeing (as robotics engineering intern)
As a senior undergraduate student at Indiana University, Gabrielle helped graduate students for research tasks such as robot design and control in VAIL.
First position: National Security Innovation Network (as X-Force program intern)
As a senior undergraduate student at Indiana University, Paula finished two robotics term projects with ground vehicles in VAIL.
First position: IU graduate student (Accelerated Master of Science in Information Systems)
As an undergrad, Isaiah worked on navigation of a ground robot. He was supported by NSF Louis Stokes Alliance for Minority Participation (LSAMP) program.
First position: IBM
Nawaz worked on small quadrotor swarm control. Nawaz got his Masters' dgree from Indiana University.
First position: IU graduate student (Accelerated Master of Science in Information Systems)
As an undergrad, Jamon worked on navigation of a ground robot. He was supported by NSF Louis Stokes Alliance for Minority Participation (LSAMP) program.
First position: Qualcomm
Danial worked on autonomous maneuvers of micro drones and tested Crazyflie 2.0. Danial got his Masters' dgree from Indiana University.
First position: AutoX (self-driving car startup)
Yezhen worked on robotic environmental exploration and mapping, especially the underwater environment. Yezhen got his Masters' dgree from University of Southern California and his BS from the University of Science and Technology of China.
First position: Microsoft (Natural Language Processing group)
Chen worked on Deep Reinforcement Learning that allows marine robot to effectively act under ocean dynamics. Chen got his Masters' dgree from USC and his BS from Tsinghua University.
First position: Nvidia (Robotics group)
Shoubhik worked on Decision-theoretic Planning and Reinforcement Learning. Shoubhik got his Masters' dgree from USC and his BE from Indian Institute of Technology, Mandi.
First position: Brain Corp (self-driving vehicles)
Kai-Cheih worked on Robotics, informative planning, and environmental sensing and monitoring. Kai-Chieh got his Masters' dgree from University of Southern California and BS from National Taiwan University.
First position: Iterable (as machine learning engineer)
Steven worked on web development for the 2017 Southern California Robotics Symposium. Steven got his Masters' dgree from USC and his BS from UCLA.
First position: TuSimple (self-driving truck startup)
Zhibei worked on the Traveling Salesman Problem, as well as the multi-robot coordination. Zhibei got his Masters' dgree from USC and BS from Fudan University.
First position: Google
Hesen worked on Markov Decision Processes and stochastic shortest paths. Hesen got his Masters' dgree from USC and BEng from University of Liverpool.
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Current position: Research Scientist
Thesis: Towards Robust Robotic Visual Perception.
Zheng defended his Ph.D. thesis in Summer 2024. Zheng has explored and connected multiple research areas during his PhD study, including generative diffusion models, robotic mapping, and UAV/UGV control. After graduation, Zheng transitioned to an industrial position where his research now focuses on text-to-video generation, specifically creating short video clips similar to OpenAI's Sora.
Current position: Founding member of a robotics startup
Thesis: Towards Automated Science: Active Robot Learning for Information Gathering.
Weizhe defended his Ph.D. thesis in Spring 2024. He was co-advised by Prof. Lantao Liu and Prof. Roni Khardon. His research focuses on enabling robots to proactively gather important data from the environment through data-efficient learning and informative planning, with applications in active mapping using Autonomous Surface Vehicles (ASVs). Upon his graduation, he became a founding member of a Boston-based robotics startup (more information forthcoming).
Current position: Research Scientist
Thesis: Robust Motion Planning and Control for Autonomous Robots under Uncertainty.
Since joining VAIL in 2018, Junhong has focused his research on data-driven planning and decision-making for ground robots in complex on-road and off-road conditions. After graduation, Junhong first served as a Group Lead in DiDi Research (self-driving) in San Francisco and then joined Nuro to continue his work on developing autonomous delivery vehicles.