Papers
9
Total Citations
178
H-Index
6
About
Ravi Prakash Joshi is a robotics researcher whose work spans two complementary domains: educational robotics software development and assistive robotics for elderly care. He is perhaps best known as a key contributor to RoboAnalyzer, an intuitive 3D software platform designed to simplify the teaching and learning of robot mechanics, including kinematics and dynamics. This tool has earned significant recognition, accumulating 63 citations since its 2017 publication, with related virtual experiments work adding further impact to his educational contributions. Joshi's research in assistive robotics addresses one of modern society's most pressing challenges — the growing shortage of caregivers for aging populations. His 2019 framework for robotic clothing assistance through imitation learning (49 citations) established a strong foundation in this space, subsequently extended through Dynamic Movement Primitives, humanoid-wheelchair collaboration systems, and whole-body elderly simulators for quantitative evaluation. Together, these works represent a coherent research agenda aimed at enabling robots to assist with essential daily living activities. Beyond these focal areas, Joshi has also contributed to industrial assembly robotics through depth-based localization for peg-in-tube tasks. With over 170 cumulative citations, his research bridges academic education and real-world humanitarian applications, making meaningful contributions to both communities.
Research Focus
Key Achievements
Top Papers
- 1Robot kinematics made easy using RoboAnalyzer software63 citations · 2017
- 2A framework for robotic clothing assistance by imitation learning49 citations · 2019
- 3
- 4Virtual robots module14 citations · 2015
- 5Depth-based localization for robotic peg-in-tube assembly12 citations · 2015
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- 8A study on human-robot collaboration for table-setting task4 citations · 2017
- 9