Ndivhuwo Makondo 
contact information
Research ScientistIBM Research | Africa, Johannesburg, South Africa +27
112769219
112769219 links
Professional Associations
Professional Associations: IEEE Robotics and Automation Society | Institute of Electrical and Electronics Engineers (IEEE)2019
Towards improving incremental learning of manipulator kinematics with inter-robot knowledge transfer
Ndivhuwo Makondo, Benjamin Rosman
IEEE SAUPEC/ROBMECH/PRASA, IEEE, 2019
Ndivhuwo Makondo, Benjamin Rosman
IEEE SAUPEC/ROBMECH/PRASA, IEEE, 2019
2018
Revolutionising manufacturing by accelerating robot learning
Ndivhuwo Makondo
CSIR Science Scope 13(1), 44-45, Council for Scientific and Industrial Research (CSIR), 2018
Ndivhuwo Makondo
CSIR Science Scope 13(1), 44-45, Council for Scientific and Industrial Research (CSIR), 2018
Accelerating Model Learning with Inter-robot Knowledge Transfer
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations
Ndivhuwo Makondo, Michihisa Hiratsuka, Benjamin Rosman, Osamu Hasegawa
Journal of robotics and mechatronics 30(2), 265-281, Fuji Press, 2018
robot learning, nonlinear system, manifold alignment, machine learning, knowledge transfer, computer science, artificial intelligence
Ndivhuwo Makondo, Michihisa Hiratsuka, Benjamin Rosman, Osamu Hasegawa
Journal of robotics and mechatronics 30(2), 265-281, Fuji Press, 2018
robot learning, nonlinear system, manifold alignment, machine learning, knowledge transfer, computer science, artificial intelligence
2016
Trajectory learning from human demonstrations via manifold mapping
Michihisa Hiratsuka, Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3935-3940
trajectory, robot kinematics, robot control, robot, procrustes analysis, manifold, kinematics, computer vision, computer science, artificial intelligence
Michihisa Hiratsuka, Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3935-3940
trajectory, robot kinematics, robot control, robot, procrustes analysis, manifold, kinematics, computer vision, computer science, artificial intelligence
2015
Knowledge transfer for learning robot models via Local Procrustes Analysis
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), pp. 1075-1082
transfer of learning, simulation, semi supervised learning, robot kinematics, procrustes analysis, machine learning, knowledge transfer, kinematics, forward kinematics, data modeling, computer science, artificial intelligence
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), pp. 1075-1082
transfer of learning, simulation, semi supervised learning, robot kinematics, procrustes analysis, machine learning, knowledge transfer, kinematics, forward kinematics, data modeling, computer science, artificial intelligence
2012
Geometric technique for the kinematic modeling of a 5 DOF redundant manipulator
Ndivhuwo Makondo, Jonathan Claassens, Nkgatho Tlale, Martin Braae
2012 5th Robotics and Mechatronics Conference of South Africa, pp. 1-7
singularity, robot end effector, mathematics, mathematical optimization, manipulator, kinematics, iterative and incremental development, inverse kinematics, control theory, collision
Ndivhuwo Makondo, Jonathan Claassens, Nkgatho Tlale, Martin Braae
2012 5th Robotics and Mechatronics Conference of South Africa, pp. 1-7
singularity, robot end effector, mathematics, mathematical optimization, manipulator, kinematics, iterative and incremental development, inverse kinematics, control theory, collision