Papers
12
Total Citations
54
H-Index
4
About
Handry Khoswanto is a robotics researcher whose work bridges the gap between theoretical control systems and practical, physical robot design. His primary research areas include inverse kinematics, autonomous navigation, and the development of balancing and telepresence robots. Khoswanto’s most influential contribution is his application of artificial neural networks with steepest descent backpropagation to model the inverse kinematics of robot manipulators—a paper that has garnered 11 citations and remains a foundational reference for simplifying complex robotic arm control. He has also made significant strides in behavior-based robotics, experimentally comparing subsumption architecture and motor schema for autonomous navigation, and in the design of two-wheeled balancing robots using accessible platforms like Lego Mindstorm NXT and AVR microcontrollers. His work evaluating accelerometer performance (MMA7260QT vs. ADXL345) for self-balancing robots has practical implications for sensor selection in nonlinear control systems. With over 40 cumulative citations, Khoswanto’s research is characterized by a hands-on, experimental approach that advances both educational robotics and real-world autonomous systems, making complex robotic concepts more tangible and implementable.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Design and evaluation of two-wheeled balancing robot chassis7 citations · 2011
- 4
- 5Performance Evaluation of MMA7260QT and ADXL345 on Self Balancing Robot4 citations · 2013
- 6Open protocol framework for telepresence robot3 citations · 2015
- 7Odometry Algorithm with Obstacle Avoidance on Mobile Robot Navigation3 citations · 2016
- 8Pengenalan Traffic Light Pada Robot Mobil Duckietown3 citations · 2018
- 9Performance Evaluation of MMA7260QT and ADXL345 on Self Balancing Robot3 citations · 2013
- 10Prototipe Balancing Robot Dengan Metode Kendali PID2 citations · 2017