Pauline Pounds

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Dependency Graph

Classification Scheme

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9 (2) (2024)
Peter Böhm, Pauline Pounds, Archie C. Chapman
Feature Extraction for Effective and Efficient Deep Reinforcement Learning on Real Robotic Platforms. ICRA (2023)
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR (2023)
Prasanna Kumar Routray, Aditya Sanjiv Kanade, Kshitij Tiwari, Pauline Pounds, Manivannan Muniyandi
Towards Multidimensional Textural Perception and Classification Through Whisker. ROSE (2022)
Peter Böhm, Pauline Pounds, Archie C. Chapman
Non-blocking Asynchronous Training for Reinforcement Learning in Real-World Environments. IROS (2022)
Prasanna Kumar Routray, Aditya Sanjiv Kanade, Pauline Pounds, Manivannan Muniyandi
Towards Multidimensional Textural Perception and Classification Through Whisker. CoRR (2022)
Jonathon Taufatofua, Scott Heath, Carlos Andres Ramirez-Brinez, Kristyn Sommer, Gautier Durantin, Wilson Kong, Janet Wiles, Pauline Pounds
Designing for Robust Movement in a Child-Friendly Robot. IROS (2018)
Scott Heath, Carlos Andres Ramirez-Brinez, Joshua T. Arnold, Ola Olsson, Jonathon Taufatofua, Pauline Pounds, Janet Wiles, Eric Leonardis, Emanuel Gygi, Estelita Leija, Laleh K. Quinn, Andrea A. Chiba
PiRat: An Autonomous Framework for Studying Social Behaviour in Rats and Robots. IROS (2018)