Year : 2024
A Survey of Drones in Agriculture Sector
Cite this Research Publication : Boopalamani J., P. Ayswariya, Pranav Raj, P. Yagnitha, Sarrvesh N., Abhishek Jha, A survey of Drones in Agriculture Sector, Applied Mechanics and Materials, Vol. 919, 191-200, 2024.
Year : 2024
Convergence of machine learning with microfluidics and metamaterials to build smart materials
Cite this Research Publication : K.N. Nampoothiri, S. Bansal, Abhishek Jha,P. Mitttal, Convergence of Machine Learning with Microfluidics and Metamaterials to Build Smart Materials, International Journal on Interactive Design and Manufacturing,2024.
Publisher : Springer
Year : 2024
Integration of microfluidics in smart acoustic metamaterials
Cite this Research Publication : K.N. Nampoothiri, S. Bansal, Abhishek Jha, P. Mitttal, Integration of Microfluidics in Smart Acoustic Metamaterials, The European Physical Journal Special Topics ,2024.
Publisher : Springer
Year : 2024
Design and manufacturing aspects of ribs with application in the solar air heater
Cite this Research Publication : Sharma S.K., Kalamkar V.R., Ganguly V.R., Pande R., Abhishek Jha, Design and Manufacturing aspects of ribs with application in the solar air heater, International Journal on Interactive Design and Manufacturing,2024.
Publisher : Springer
Year : 2021
A Framework for Robot Programming via Imitation
Cite this Research Publication : A Framework for Robot Programming via Imitation. In Advances in Mechanical Engineering, Lecture Notes in Mechanical Engineering. Springer, Singapore
Publisher : Springer
Year : 2018
Programming of an industrial robot using demonstrations and soft computing techniques
Cite this Research Publication : Khandekar, P. M., Chiddarwar, S. S., Jha, A. (2018) Programming of an industrial robot using demonstrations and soft computing techniques, Journal of Scientific and Industrial Research, Vol. 77, March (2018), 156-163.
Publisher : Journal of Scientific and Industrial Research
Year : 2017
Kinematics based approach for robot programming via human arm motion
Cite this Research Publication : Jha, A., Chiddarwar, S. S., Alakshendra, V., and Andulkar, M. V. (2017) Kinematics based approach for robot programming via human arm motion, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(7), 2659-2675.
Publisher : Journal of the Brazilian Society of Mechanical Sciences and Engineering
Year : 2017
Robot programming by demonstration using teleoperation through imitation
Cite this Research Publication :
Purpose
This paper aims to present a new learning from demonstration-based trajectory planner that generalizes and extracts relevant features of the desired motion for an industrial robot.
Design/methodology/approach
The proposed trajectory planner is based on the concept of human arm motion imitation by the robot end-effector. The teleoperation-based real-time control architecture is used for direct and effective imitation learning. Using this architecture, a self-sufficient trajectory planner is designed which has inbuilt mapping strategy and direct learning ability. The proposed approach is also compared with the conventional robot programming approach.
Findings
The developed planner was implemented on the 5 degrees-of-freedom industrial robot SCORBOT ER-4u for an object manipulation task. The experimental results revealed that despite morphological differences, the robot imitated the demonstrated trajectory with more than 90 per cent geometric similarity and 60 per cent of the demonstrations were successfully learned by the robot with good positioning accuracy. The proposed planner shows an upper hand over the existing approach in robustness and operational ease.
Research limitations/implications
The approach assumes that the human demonstrator has the requisite expertise of the task demonstration and robot teleoperation. Moreover, the kinematic capabilities and the workspace conditions of the robot are known a priori.
Practical implications
The real-time implementation of the proposed methodology is possible and can be successfully used for industrial automation with very little knowledge of robot programming. The proposed approach reduces the complexities involved in robot programming by direct learning of the task from the demonstration given by the teacher.
Originality/value
This paper discusses a new framework blended with teleoperation and kinematic considerations of the Cartesian space, as well joint space of human and industrial robot and optimization for the robot programming by demonstration.
Publisher : Industrial Robot: An International Journal