Wasif Naeem
Papers
10
Total Citations
147
H-Index
6
About
Dr. Wasif Naeem is a leading researcher in robotics, specializing in motion planning, control systems, and autonomous vehicle navigation. His work addresses critical challenges in robotic manipulation, particularly for dual-arm systems and unstructured environments. Dr. Naeem’s most influential contributions include developing improved Artificial Potential Field (APF) strategies for dual-arm local motion planning (43 citations) and pioneering chemical plume tracing and odour source localisation by autonomous vehicles (42 citations), which has applications in environmental monitoring and search-and-rescue operations. He has also advanced humanoid motion planning through reinforcement learning (29 citations) and introduced intelligent configuration-sampling methods for efficient local motion planning. His research extends to formation manoeuvring and collision avoidance for multiple robots, context-aware robotic arms using fast embedded model predictive control, and slip signal analysis on collaborative platforms like the Baxter robot. Dr. Naeem’s work is widely cited for its practical impact on real-time, safe, and adaptive robotic systems, making him a notable figure in the field of robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Improved APF strategies for dual-arm local motion planning43 citations · 2014
- 2Chemical Plume Tracing and Odour Source Localisation by Autonomous Vehicles42 citations · 2007
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- 5Multiple robots formation manoeuvring and collision avoidance strategy7 citations · 2016
- 6Context-aware robotic arm using fast embedded model predictive control6 citations · 2020
- 7Slip signal analysis on a Baxter robot4 citations · 2019
- 8Efficient Local Sampling for Motion Planning of a Robotic Manipulator4 citations · 2012
- 9Pose Estimation based on a Dual Quaternion Feedback Particle Filter2 citations · 2022
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