Wallace Lawson
Papers
14
Total Citations
148
H-Index
6
About
Wallace Lawson’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a strong focus on autonomous security and collaborative systems. His most cited work, "Finding Anomalies with Generative Adversarial Networks for a Patrolbot" (45 citations), introduces a GAN-based anomaly detection system for patrol robots, enabling autonomous identification of suspicious objects by comparing live views with learned models of normality. This foundational contribution extends to mobile platforms for detecting anomalous objects (12 citations), where deep neural network features are clustered to build environmental dictionaries. Lawson is also a pioneer in soft-biometric person identification, with two papers (25 and 23 citations) demonstrating how robots can recognize individuals using diverse features for long-term social interaction. His work on human-robot firefighting teams (10 citations) showcases cooperative strategies combining speech and gesture, while his research on touch recognition for collaborative firefighting (6 citations) addresses communication in chaotic, visually degraded environments like ship fires. Additional contributions include multimodal identification using Markov logic networks and learning speaker recognition models through interaction. With over 130 total citations, Lawson’s work advances practical, deployable robotic systems for security, emergency response, and social interaction.
Research Focus
Key Achievements
Top Papers
- 1Finding Anomalies with Generative Adversarial Networks for a Patrolbot45 citations · 2017
- 2Identifying people with soft-biometrics at Fleet Week25 citations · 2013
- 3Identifying people with soft-biometrics at fleet week23 citations · 2013
- 4Detecting Anomalous Objects on Mobile Platforms12 citations · 2016
- 5Fighting fires with human robot teams10 citations · 2012
- 6
- 7Representing motion information from event-based cameras4 citations · 2017
- 8Multimodal identification using Markov logic networks4 citations · 2011
- 9Learning speaker recognition models through human-robot interaction4 citations · 2011
- 10Integrating vision for human-robot interaction3 citations · 2010