Projects
Robot Learning for Anomaly Detection and Introspection through Cameras
Detecting anomalies in robotic systems using only high-uncertainty, camera-based monitoring.
World ModelsUncertain state estimationAnomaly IntrospectionUNDERGOING
Quality-Diversity Reinforcement Learning for Damage Recovery in Robotics
A QD reinforcement learning-based research to enable robots to recover from unexpected damages with better performance and significantly less trials.
Robotic LocomotionReinforcement LearningJAXAIFeature
Driving Condition-based Energy Management Strategy of Hybrid Vehicles
A reasearch on driving profile aware energy management strategy that achieves lower energy consumption of hybrid electric vehicles.
Multi-agentDDPGTCN ForcastingPytorch
VAE-Based Driving Cycle Generation Algorithms
A research on sythesizing diverse styles of driving cycles for vehicle energy-efficiency evaluations.
VAELSTMLatent