Publications

Paper: Environment-Aware Sensor Fusion using Deep Learning

A reliable perception pipeline is crucial to the operation of a safe and efficient autonomous vehicle. Fusing information from multiple […]

Paper: Thermal Infrared Imaging Can Differentiate Skin Temperature Changes Associated With Intense Single Leg Exercise, But Not With Delayed Onset of Muscle Soreness

Muscle damage and soreness associated with increased exercise training loads or unaccustomed activity can be debilitating and impact the quality […]

Paper: Perceptive whole‐body planning for multilegged robots in confined spaces

Legged robots are exceedingly versatile and have the potential to navigate complex, confined spaces due to their many degrees of […]

Paper: Deep Similarity Metric Learning for Real-Time Pedestrian Tracking

Tracking by detection is a common approach to solving the Multiple Object Tracking problem. In this paper we show how […]

Paper: An informative path planning framework for UAV-based terrain monitoring

Unmanned aerial vehicles represent a new frontier in a wide range of monitoring and research applications. To fully leverage their […]

Paper: Benchmarking simulated robotic manipulation through a real world dataset

We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution […]

Paper: OpenSHC: A Versatile Multilegged Robot Controller

Multilegged robots have the ability to perform stable locomotion on relatively rough terrain. However, the complexity of legged robots over […]

Syropod High-level Controller (OpenSHC) open-sourced code released

Syropod High-level Controller (SHC) is a versatile controller capable of generating body poses and gaits for quasi-static multilegged robots. It […]

Paper: Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications

Granular materials, such as sands, soils, grains and powders, are ubiquitous in both natural and artificial systems. They are core to […]

Paper: Probe-before-step walking strategy for multi-legged robots on terrain with risk of collapse

Multi-legged robots are effective at traversing rough terrain. However, terrains that include collapsible footholds (i.e. regions that can collapse when […]