Publications

PaintCloud is a 3D point cloud colourisation method that brings colour to 3D lidar point clouds in a simple way. The technique is described in “Colourising Point Clouds using Independent Cameras” by Pavel Vechersky, Mark Cox, Paulo V K Borges, Tom Lowe. The paper has been recently accepted at IEEE Robotics and Automation Letters and will […]

Paper: Map-Aware Particle Filter for Localization This work presents a method to improve vehicle localization by using the information from a prior occupancy grid to bound the possible poses. The method, named MapAware Particle Filter, uses a nonlinear approach to mapmatching that can be integrated  into a particle filter framework for localization. Each particle is re-weighted based on the validity of […]

Paper: DELIGHT: An Efficient Descriptor for Global Localisation using LiDAR Intensities. Place recognition is a key element of mobile robotics. It can assist with the “wake-up” and “kidnapped robot” problems, where the robot position needs to be estimated without prior information. Among the different sensors that can be used for the task (e.g., camera, GPS, LiDAR), LiDAR has the advantage […]

Paper: Complementary Perception for Handheld SLAM We present a novel method for mapping general three-dimensional environments, where sufficient geometric or visual information is not everywhere guaranteed and where the device motion is unconstrained as with handheld systems. The continuous-time simultaneous localization and mapping algorithm integrates a lidar, camera, and inertial measurement unit in a complementary […]

Zee is a prototype hexapod robot equipped with a streaming camera sensor and a real-time 3D scanning Lidar. This robot can be operated with a standard tablet or smartphone.

Multilegged Autonomous eXplorer (MAX), is an ultralight, six-legged robot for traversal and exploration of challenging indoor and outdoor environments.

Due to their morphologies, legged robots are ideal platforms for investigating biologically-inspired approaches to control and navigation.

For humanoid robots to replace humans in dangerous environments, they require a robust fall prevention system that can detect falls, prevent major damage and recover back up to continue on with the task.

We introduce a novel hexapod robot, Weaver, which has five joints per leg and 30 degrees of freedom overall.