Soft robots with human-like perception can anticipate sensory inputs, detect contact and adapt dynamically, paving the way for applications in autonomous exploration and precision-driven medical procedures.

A fast-adaptive estimator for robust flight control draws from the best of both deep-learning techniques and conventional control algorithms to improve drone performance.

By improving how unmanned ground vehicles see and navigate complex, cluttered construction sites, automation is set to transform tasks like site mapping and monitoring.

By integrating building information with indoor spatial data, robots are equipped with the capability to navigate and map complex indoor spaces more efficiently, advancing how industries capture the digital representation of the built environment.

Modelled on the neural control systems of animals, a new layered control framework enables legged robots to navigate complex terrains with greater agility and precision.

Designing safe, reliable and human-centric robots is a growing priority as they become an integral part of daily life.

The new Centre for Environment and Ageing Well at the College of Design and Engineering transforms how societies approach ageing-related challenges through research-driven solutions — ensuring an inclusive future in ageing.

By integrating triboelectric and visuotactile sensing, a novel bionic electro-mechanosensory finger achieves both remote control and tactile perception, mimicking the platypus’s ability to sense electronical signals in murky waters and respond to physical stimuli.

A new data-driven model dissects the mobility patterns of older persons within urban transit systems, improving the understanding of their travel behaviours for more inclusive, accessible urban designs.

A scalable, reproducible “micro-gut” model opens up new possibilities for studying the links between gut microbes and human diseases, paving the way for improved treatments and therapies.