Prof. Rodrigo Jamisola
Robotics, Machine Learning, and Artificial Intelligence -- B...
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Academic Career Length
24Years (2003-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications4 June 2013 in IEEE Transactions on Industrial Electronics
Journal Article
This paper presents a method of implementing impedance control (with inertia, damping, and stiffness terms) on a dual-arm system by using the relative Jacobian technique. The proposed method significantly simplifies the control implementation because the dual arm is treated as a single manipulator, whose end-effector motion is defined by the relative motion between the two end effectors. As a result, task description becomes simpler and more intuitive when specifying the desired impedance and the desired trajectories. This is the basis for the relative impedance control. In addition, the use of time-delay estimation enhances ease of implementation of our proposed method to a physical system, which would have been otherwise a very tedious and complicated process.
13 December 2021 in European Journal of Wildlife Research
Journal Article
3 November 2020 in International Journal of Dynamics and Control
Journal Article
TEThato Elijah
Thato ElijahRodrigo JamisolaZTZeundjua Tjiparuro
Zeundjua TjiparuroMNMolaletsa Namoshe
Molaletsa Namoshe1 December 2021 in Ecological Informatics
Journal Article
TPTinao Petso
Tinao PetsoRodrigo JamisolaDMDimane Mpoeleng
Dimane Mpoeleng
EBEmily Bennitt
Emily BennittWMWazha Mmereki
Wazha Mmereki7 August 2006 in IEEE Transactions on Robotics
Journal Article
This work considers kinematic failure tolerance when obstacles are present in the environment. It addresses the issue of finding a collision-free path such that a redundant robot can successfully move from a start to a goal position and/or orientation in the workspace despite any single locked-joint failure at any time. An algorithm is presented that searches for a simply-connected, obstacle-free surface with no internal local minimum or maximum in the configuration space that guarantees the existence of a solution. The method discussed is based on the following assumptions: a robot is redundant relative to its task, only a single locked-joint failure occurs at any given time, the robot is capable of detecting a joint failure and immediately locks the failed joint, and the environment is static and known. The technique is illustrated on a seven degree-of-freedom commercially available redundant robot. Although developed and illustrated for a single degree of redundancy, it is possible to extend the algorithm to higher degrees of redundancy
1 January 2005 in Advanced Robotics
Journal Article
Rodrigo JamisolaDODenny Oetomo
Denny Oetomo
Marcelo H. Ang Jr.OKOussama Khatib
Oussama Khatib
TLTao Ming Lim
Tao Ming Lim
SLSer Yong Lim
Ser Yong Lim
The operational space formulation provides a framework for the analysis and control of robotic systems with respect to interactions with their environments. In this paper, we discuss its implementa...
About Me
Rodrigo S. Jamisola Jr. received his B.S. degree in Mechanical Engineering from the University of the Philippines-Diliman in 1993, M.E. degree (research-based) in Mechanical Engineering from the National University of Singapore in 2001, M.Sc. degree in Electrical and Computer Engineering from Colorado State University in 2006, and Ph.D. degree in Electronics and Communications Engineering from De La Salle University-Manila in 2009. He joined De La Salle University as an Asst. Professor in 2008 and Toyota Motor Philippines as an R&D Manager in 2011. He was a Post-doctoral Research Fellow at Daegu-Gyeongbuk Institute of Science and Technology in South Korea 2012 and was a Sr. Post-doctoral Fellow at the Italian Institute of Technology in Genova, Italy in 2013. He is now an Associate Professor at Botswana International University of Science and Technology in Palapye, Botswana. His current research projects include control of combined manipulators, combined drones, and drones with arms; development and real-time control of autonomous land, air, and sea vehicles; artificial intelligence modeling and interpretation of perception, human emotion,and physical phenomena; and development and control of biomedical devices.