CV

Education

• Ph.D in Computer Science, University of Lincoln, UK, 2024
• M.S. in Mechatronics Engineering, Sharif University of Technology, Iran, 2017
• B.S. in Mechnaical Engineering, Amirkabir University of Technology, Iran, 2014

Work experience

• Postdoctoral Research Associate in Robotics & Intelligent Systems
  • University of Lincoln, UK (2023 - 2024)
  • Focus: Robotic Navigation Software Development
  • Developed navigation software for a weed removal robot using ArduPilot and Mavros. Integrated black weed detection vision system for mechanical tool control. Digital twinning of plant by combining UGV and UAV 3D pointcloud data.
• Robotic Manipulation Research Engineer
  • University of Lincoln, UK (2022 - 2023)
  • Focus: Enabling Tactile Feedback for Strawberry Picking Gripper
  • Developed a grip force controller using a customized vision-based tactile sensor. Implemented real-time slip detection and slip avoidance control. Implemented model predictive control for flexible object manipulation.
• Robotic Software Engineer
  • Agaricus Robotics, UK (2021 - 2022)
  • Focus: Autonomous Mushroom Harvesting System
  • Performed data collection for training a multi-modal mushroom pose estimation network. Utilized ROS, MoveIt, and OpenCV for motion planning and system integration.
• Teleoperation Robotic Engineer
  • Sina Robotics, Iran (2017 - 2019)
  • Focus: Orthopedic Surgical Teleoperation System
  • Developed a bilateral teleoperation controller for femur fracture surgery using Novint Falcon. Conducted kinematic modeling of parallel leader and follower robots.

Skills

• AI & Robotics:
  • ROS, MoveIt, PyTorch, TensorFlow, Keras, PyBullet, MuJoCo, OpenCV
• Programming:
  • Python , C++, MATLAB, GitHub, Docker
• Hardware:
  • Franka, UR3, Hunter SE, GelSight, uSkin, RealSense, AlegroHand, RightHand
• Software Tools:
  • LlamaIndex, OpenAI, Stability.ai, LangChain, Scikit-Learn, Pandas, Scipy

Publications

Enabling tactile feedback for robotic strawberry handling using ast skin

Vishnu Rajendran, Kiyanoush Nazari, Simon Parsons, Amir Ghalamzan. "Enabling tactile feedback for robotic strawberry handling using ast skin." In Towards Autonomous Robotic Systems: 25th Annual Conference, TAROS 2024

Acoustic soft tactile skin (AST skin)

Vishnu Rajendran, Willow Mandil, Kiyanoush Nazari, Simon Parsons, and Amir Ghalamzan. "Acoustic soft tactile skin (AST skin)." In 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 4105-4111. IEEE, 2024.

Deep functional predictive control (deep-fpc): Robot pushing 3-d cluster using tactile prediction

Nazari, Kiyanoush, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Willow Mandil, Paolo Rocco, and Amir Ghalamzan-E. "Deep functional predictive control (deep-fpc): Robot pushing 3-d cluster using tactile prediction." In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 10771-10776. IEEE, 2023.

Tactile-sensing technologies: Trends, challenges and outlook in agri-food manipulation

Mandil, Willow, Vishnu Rajendran, Kiyanoush Nazari, and Amir Ghalamzan-Esfahani. "Tactile-sensing technologies: Trends, challenges and outlook in agri-food manipulation." Sensors 23, no. 17 (2023): 7362.

Proactive slip control by learned slip model and trajectory adaptation

Nazari, Kiyanoush, Willow Mandil, and Amir Masoud Ghalamzan Esfahani. "Proactive slip control by learned slip model and trajectory adaptation." In Conference on Robot Learning, pp. 751-761. PMLR, 2023.

Deep movement primitives: toward breast cancer examination robot

Sanni, Oluwatoyin, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, and Kiyanoush Nazari. "Deep movement primitives: toward breast cancer examination robot." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 11, pp. 12126-12134. 2022.

Action Conditioned Tactile Prediction: a case study on slip prediction

Mandil, Willow, and Kiyanoush Nazari. "Action conditioned tactile prediction: a case study on slip prediction." Robotics: Science and Systems (2022).

Tactile Dynamic Behaviour Prediction Based on Robot Action

Nazari, Kiyanoush, Willow Mandill, Marc Hanheide, and Amir Ghalamzan Esfahani. "Tactile dynamic behaviour prediction based on robot action." In Towards Autonomous Robotic Systems: 22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8–10, 2021, Proceedings 22, pp. 284-293. Springer International Publishing, 2021.

Deep-LfD: Deep robot learning from demonstrations

Ghalamzan, Amir, Kiyanoush Nazari, Hamidreza Hashempour, and Fangxun Zhong. "Deep-LfD: deep robot learning from demonstrations." Software Impacts 9 (2021): 100087.

Haptic-guided shared control grasping: collision-free manipulation

Parsa, Soran, Disha Kamale, Sariah Mghames, Kiyanoush Nazari, Tommaso Pardi, Aravinda R. Srinivasan, Gerhard Neumann, Marc Hanheide, and Ghalamzan E. Amir. "Haptic-guided shared control grasping: collision-free manipulation." In 2020 IEEE 16th international conference on automation science and engineering (CASE), pp. 1552-1557. IEEE, 2020.

Robust adaptive bilateral control of teleoperation systems with uncertain parameters and unmodeled dynamics

Esfandiari, Mojtaba, Kianoosh Nazari, and Farzam Farahmand. "Robust adaptive bilateral control of teleoperation systems with uncertain parameters and unmodeled dynamics." In 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM), pp. 95-100. IEEE, 2017.

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Teaching

Agri-robotics

Advanced Robotics

Service and leadership

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