Richard Wunderlich

Qualcomm (United States), Market Matters

Papers

2

Total Citations

18

H-Index

2

About

Richard Wunderlich is a researcher specializing in reconfigurable analog VLSI (AVLSI) and field programmable analog arrays (FPAAs) for autonomous robotics. His primary contributions lie in developing novel, hardware-based solutions for robot path planning, moving beyond traditional digital processors to exploit the speed and efficiency of analog circuits. His most-cited work, "Single-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI" (2016, 14 citations), demonstrates how custom AVLSI circuits can be used to compute optimal paths, addressing the limitations of earlier application-specific integrated circuits (ASICs) by leveraging reconfigurability. In "Three Dimensional Robot Path Planning Using a Field Programmable Analog Array" (2014, 4 citations), he extended this approach to 3D environments, using a bipartite grid algorithm to map arbitrary spaces onto the analog hardware. Wunderlich’s work is notable for pioneering the use of reconfigurable analog computing in robotics, offering a promising alternative for low-power, real-time navigation in complex environments. His research bridges the gap between analog circuit design and autonomous systems, with potential applications in swarm robotics and embedded control.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Single-Objective Path Planning for Autonomous Robots Using Reconfigurable Analog VLSI
14 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Qualcomm (United States), Market Matters

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago