Zeeshan Shareef

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Research Focus

Key Achievements

Top Papers

1. 1
   Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control †

   81 citations · 2017
2. 2
   Simultaneous path planning and trajectory optimization for robotic manipulators using discrete mechanics and optimal control

   17 citations · 2014
3. 3
   Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning**Z. Shareef received funding from the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Competition. P. Mohammadi received funding from the European Community’s Horizon 2020 robotics program ICT-23-2014 under grant agreement 644727 - CogIMon.

   15 citations · 2016
4. 4
   Generalizing a learned inverse dynamic model of KUKA LWR IV+ for load variations using regression in the model space

   14 citations · 2016
5. 5
   Optimal trajectory planning for robotic manipulators using Discrete Mechanics and Optimal Control

   8 citations · 2014
6. 6
   Joint Selection Criterion for Optimal Trajectory Planning for Robotic Manipulators using Dynamic Programming

   7 citations · 2014
7. 7
   Design and control of cooperative ball juggling DELTA robots without visual guidance

   6 citations · 2015
8. 8
   Dynamical model of ball juggling Delta robots using reflection laws

   3 citations · 2013

Key Collaborators