Daniel Waterman

About

Daniel Waterman is a pioneering researcher in humanitarian demining robotics, with a career focused on developing robotic systems to address the global landmine crisis—a problem that claims over 2,000 victims monthly and hinders economic development worldwide. His key research areas include neuro-fuzzy control systems, hydraulic master-slave manipulation, and multi-degree-of-freedom robotic excavation. Waterman's major contributions include the creation of a neuro-fuzzy position control system for demining tele-operation using recurrent neural network modeling (28 citations), a hydraulic master-slave robot hand for landmine clearance controlled by pulse modulation (18 citations), and a feasibility study for a 6-degree-of-freedom excavation robot (13 citations). His work on mine detection robots and related technologies (2008) provides a comprehensive overview of the field. With over 60 total citations across his most-cited works, Waterman's research has laid critical groundwork for safer, more effective demining operations, directly addressing the urgent need to protect lives and enable post-conflict recovery.

Research Focus

Key Achievements

Top Papers

1. 1
   Neuro-fuzzy position control of demining tele-operation system based on RNN modeling

   28 citations · 2005
2. 2
   Hydraulic master–slave land mine clearance robot hand controlled by pulse modulation

   18 citations · 2005
3. 3
   Preliminary Design and Feasibility Study of a 6-Degree of Freedom Robot for Excavation of Unexploded Landmine

   13 citations · 2005
4. 4
   Mine Detection Robot and Related Technologies for Humanitarian Demining

   3 citations · 2008

Key Collaborators

Contact & Links