Assistantship

Research Assistant

AAM-SEALS: Aerial-Aquatic Manipulators Simulator

Jan 2024 - Ongoing

Developed a photorealistic simulator using Isaac Sim for Aerial-Aquatic Mobile Manipulators (AAMs) to operate seamlessly across sea, air, and land environments, addressing the limitations of existing mobile manipulators.

  • Designed integrated controllers for drone flight, underwater propulsion, and robotic manipulation.
  • Implemented particle-based hydrodynamics for high-fidelity aerial and aquatic simulations.
  • Developed PID controllers for stable drone flight and applied SAC & PPO reinforcement learning for optimized control.
  • Validated smooth robotic transitions across air-water interfaces, improving position-tracking accuracy.

The project benefits aerial, underwater, and mobile robotics research, with open-source code and datasets supporting further advancements.

Research Assistant

Perception and Robotics Group

(Advisor: Prof. Yiannis Aloimonos)

Jan 2023 - May 2023

TinyDepth: Generalized Neural Metric Depth for Palm-sized Robots. Under Review Nature npj Robotics

I designed a robot model, circuit, and programmed its motion, synchronized sensor data, developed ROS software, and integrated decision capabilities for navigating an unknown environment. This was vital for our research as the autonomous robot, within 6 cm scale, required real-time data, calibrated sensors, processing power, and a compact design for desired accuracy and autonomy.

Grader

ENPM808z: Cognative Robotics

Jan 2024 - May 2024

Solidified my understanding of cognitive robotics through evaluating student work. This not only strengthens my grasp of concepts but also hones my ability to explain complex topics clearly. Cognitive Robotics Course Curriculum:

  • Foundations of Cognitive Robotics (Explore core principles like perception, reasoning, and decision-making in intelligent robots.)
  • Human-Robot Interaction (HRI) (Delve into the design and analysis of seamless human-robot interaction systems.)
  • Robot Learning (Examine various machine learning techniques for robot training and adaptation.)
  • Planning and Control in Robotics (Focus on strategies for robot navigation, task planning, and motion control in dynamic environments.)

Graduate Teaching Assistantship

ENPM667: Control of Robotic Systems

Aug 2023 - Dec 2023

My current role as a Teaching Assistant allows me to actively contribute to students' learning experiences. It deepens my own understanding of these crucial control systems concepts and enhances my ability to effectively convey complex technical material. This comprehensive curriculum covered by the course:

  • Linear system theory with practical applications and numerical methods.
  • Modeling and design of linear controllers using state-space methods, emphasizing independent joint control
  • Controllability, observability, stability and dynamic feedback controller realization.
  • Fundamental principles of optimal control, including LQR and LQG.
  • Analysis and design of feedback systems using frequency domain methods.

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Services

Peer Review


  • RA-L IEEE Robotics and Automation Letters
  • ICRA International Conference on Robotics and Automation
  • IROS International Conference on Intelligent Robots and Systems
  • CVPR Conference on Computer Vision and Pattern Recognition
  • ICCV International Conference on Computer Vision
  • RSS Robotics Science and Systems
  • TVCJ The Visual Computer Journal, Springer

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A108 Adam Street, New York, NY 535022

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