Adam Hoover

About

Adam Hoover is a pioneer in robotics and computer vision, whose work fundamentally reshaped how robots perceive and interact with their environments. His research centers on three key areas: timing models for vision-based control, sensor network perception, and function-based object recognition. Hoover’s most influential contribution is his development of a timing model for vision-guided robotics, which precisely characterizes the delays between sensing and actuation—a critical factor for real-time control. His 2004 paper on this topic (35 citations) and his subsequent 2013 work on measuring latency at continuous 1-ms resolution (28 citations) set new standards for system responsiveness. He also championed the use of distributed sensor networks for mobile robotics, demonstrating how third-person perspectives from environmental cameras could outperform traditional on-board sensing (34 citations). In the 1990s, Hoover advanced function-based recognition, showing how robots could identify objects like chairs or hammers from partial shape descriptions (31 citations). His innovative work on video camera networks for path planning (15 citations) and sensor-networked workcells for industrial robots (13 citations) further cemented his legacy. With over 150 total citations across his top papers, Hoover’s research remains foundational for students and engineers building responsive, perceptive robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Timing Model for Vision-Based Control of Industrial Robot Manipulators

   35 citations · 2004
2. 2
   Sensor network perception for mobile robotics

   34 citations · 2002
3. 3
   Function-based recognition from incomplete knowledge of shape

   31 citations · 1993
4. 4
   Measuring Digital System Latency from Sensing to Actuation at Continuous 1-ms Resolution

   28 citations · 2013
5. 5
   Path planning for mobile robots using a video camera network

   15 citations · 1999
6. 6
   Sensor network based workcell for industrial robots

   13 citations · 2002
7. 7
   Recognizing object function through reasoning about partial shape descriptions and dynamic physical properties

   12 citations · 1996
8. 8
   Improving odometry using a controlled point laser

   6 citations · 2012
9. 9
   A new generic model for vision based tracking in robotics systems

   6 citations · 2004
10. 10
    Sensor networked mobile robotics

    6 citations · 2002

Key Collaborators

Contact & Links