Robotics, Autonomous Intelligence and Learning Lab
The RAIL Lab, established in 2014, is dedicated to conducting cutting-edge research in the field of artificially intelligent systems. With a focus on both fundamental and applied research, our vision is to serve as a prominent centre of excellence and a hub for AI activities in Africa. We aim to make significant contributions to the field of AI while also applying our findings to benefit society at large.
We are now hiring postdocs!
We are looking for postdocs in (1) learning, planning and reasoning; (2) reinforcement learning for embodied AI; (3) African AI governance; and (4) procedural content generation.
Latest Research
Mortar: Evolving Mechanics for Automatic Game Design
We present Mortar, a system for autonomously evolving game mechanics for automatic game design. Game mechanics define the rules and …
MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the …
The Five Senses: Assessing Non-verbal Communication in Multicultural Human–Robot Interaction
As social robots move from research laboratories into everyday settings, they increasingly encounter users whose sensory expectations …
Schema-Based Understandability in Human-Robot Interactions: A Cognitive Framework
Robots are entering hospitals, airports, classrooms and homes, yet a persistent barrier to effective human–robot interaction is often …
Skill-Driven Neurosymbolic State Abstractions
We consider how to construct state abstractions compatible with a given set of abstract actions, to obtain a well-formed abstract …
Real-time Prediction of Dota 2 Match Outcomes using In-game Chat Logs
This paper investigates the application of supervised learning for the purpose of match outcome prediction from Dota 2 in game chat …