Pushparaj Mani Pathak
Indian Institute of Technology Roorkee, Queen's University, Indian Institute of Technology Kharagpur, Indian Institute of Technology Kanpur, National Institute of Technology Calicut
0000-0001-7068-8574
About
Dr. Pushparaj Mani Pathak is a Professor at Mechanical & Industrial Engineering Department, Indian Institute of Technology (IIT), Roorkee. He joined IIT Roorkee in 2006 as Asssitant Professor. He was graduated from National Institute of Technology, Calicut (India) in 1988 in Mechanical Engineering. He completed his M. Tech in Solid Mechanics and Design from Indian Institute of Technology, Kanpur (India) in 1998. He was awarded the PhD degree from Indian Institute of Technology, Kharagpur (India) in 2005. He worked in area of space robotics. He is member of International Federation for the Promotion of Mechanism and Machine Science (IFToMM) Technical committee for Multi Body Dynamics, Association of Machines and Mechanisms (AMM) India, Robotic Society of India (RSI). His areas of research are Robotics, Dynamics, Control, and Bond Graph Modelling.
Employment
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Indian Institute of Technology Roorkee Professor (Highest Academic Grade)2025 - Present
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Queen's University Visiting Professor2024 - 2025
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Indian Institute of Technology Roorkee Professor2018 - 2024
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Indian Institute of Technology Roorkee Associate Professor2012 - 2018
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Indian Institute of Technology Roorkee Assistant Professor2006 - 2012
Education
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Indian Institute of Technology Kharagpur PhD2001 - 2004
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Indian Institute of Technology Kanpur M Tech1996 - 1998
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National Institute of Technology Calicut B Tech1984 - 1988
Projects & Funding
Projects & funding information is unavailable.
Publications (164)
- Dynamic model-based trajectory tracking of a planar-to-spatial tendon-driven continuum manipulator under external forces Save
- Assistive Robotics Save
- Development of Intelligent Control Systems for Assistive Robots Save
- Enhancing Human-Robot Interaction Through Multimodal Sensing: Sound Source Localization and Vision-Based Human Detection Save
- Addressing unpredictable movements of dynamic obstacles with deep reinforcement learning to ensure safe navigation for omni-wheeled mobile robot Save
- Autonomous Navigation of Omni-wheeled Mobile Robot to Tackle Random Dynamic Obstacles Save
- Cost Effective Design and Development of a Cable-Driven Parallel Robot for Concrete Printing Save
- Coupling Human Action Recognizer with Object Detector for Robotic Manipulation in Human-Robot Interaction Save
- Efficient UAV Trajectory Following through Data-Driven Modeling Save
- Estimating Stockpile Volume Using Drone Photography: A Marker-Based Approach Save