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  • Toronto Metropolitan University
  • Canada
  • 18:49 (UTC -05:00)

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Shayan-Sepahvand/README.md

Hello | Bonjour | Guten Tag | Ψ³Ω„Ψ§Ω… | こんにけは πŸ‘‹

Hi, I'm Shayan Sepahvand, a PhD candidate in Mechanical Engineering (Robotics) at Toronto Metropolitan University (TMU), working in the Robotics, Mechatronics and Automation Laboratory (RMAL).

My research focuses on aerial manipulation, continuum robotics, visual servoing, force control, and autonomous robotic systems. I am particularly interested in developing perception and control methods for tendon-driven aerial continuum manipulators, including vision-based manipulation, hybrid vision/force control, and learning-based robotic control.


πŸ”¬ Research Interests

  • πŸ€– Continuum Robotics
  • 🚁 Aerial Manipulation
  • πŸ‘οΈ Visual Servoing
  • 🦾 Hybrid Vision/Force Control
  • 🧠 Deep Learning for Robotics
  • πŸ“ Robot Kinematics and Dynamics
  • πŸ›°οΈ Autonomous Robotic Systems
  • 🧭 Motion Planning and Control

πŸ› οΈ Tools & Technologies

  • Programming: C++, Python, MATLAB
  • Robotics: ROS / ROS 2, MAVROS, RViz
  • Computer Vision: OpenCV, Visual Servoing, Feature Matching
  • Simulation & Modeling: MATLAB/Simulink, Cosserat-Rod Modeling
  • Control: Sliding-Mode Control, Fixed-Time Control, Adaptive Control, IBVS
  • Hardware: UAVs, Continuum Manipulators, Force/Torque Sensors, RGB-D Cameras

πŸ€– Selected Projects

I enjoy working on challenging robotics projects involving aerial manipulation, continuum robots, perception, and control.

Robust Vision-based Control of a Quadrotor IK Estimation of Continuum Robot
Vision-based Landing Framework Deep Visual Servoing of Quadrotors

πŸ“š Current Research

My current research investigates control and perception methods for tendon-driven aerial continuum manipulators (TD-ACMs), including:

  • Image-Based Visual Servoing (IBVS)
  • Hybrid visual and force control
  • Robust and fixed-time control
  • Singularity-aware visual feature selection
  • Force and wrench estimation
  • Dual-arm aerial manipulation
  • Valve-turning and contact-rich manipulation
  • Continuum robot modeling using Cosserat-rod formulations

πŸ“„ Research & Publications

My research has been published and presented in robotics, control, computer vision, and autonomous-systems venues.

You can find more information about my publications and research here:

  • πŸŽ“ Google Scholar
  • πŸ”¬ ResearchGate: [Add your ResearchGate link]
  • πŸ†” ORCID
  • πŸ’Ό LinkedIn
  • 🌐 Personal Website: [Add your website link]

πŸ“« Connect With Me

I am always interested in discussions and collaborations related to:

Robotics Β· Aerial Manipulation Β· Continuum Robots Β· Visual Servoing Β· Robot Control Β· Autonomous Systems


Shayan Sepahvand's GitHub stats

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  1. BinTracker BinTracker Public

    This repo investigates the real-time tracking and pose estimation of an industrial waste container using YOLOv10 model.

    Python

  2. CCR-IK CCR-IK Public

    CCR-IK: Image-to-joint (I2J) inverse kinematics estimation of a cooperative continuum Robot (CCR)

    Jupyter Notebook

  3. ROS-IBVS ROS-IBVS Public

    SONN-IBVS: Robust Image-based Visual Servoing of a Quadrotor Using Self-Organizing Neural Networks

    Python

  4. quadrotor_landing quadrotor_landing Public

    Fuzzy Image-Based UAV Landing Using RGBD Data and Visual SLAM

    Python