AISLAB at ICRA 2026
Our team presented several contributions accepted at the IEEE Conference in Robotics & Automation, 2026 in Vienna. Our works Instance-Guided Unsupervised Domain Adaptation for Robotic Semantic Segmentation and Self-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency have been presented at the main conference. Our work Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation has been presented (oral presentation) to the 1st Workshop in Generalization in Autonomous Driving. Our work Experience-Based Map Building Re-Exploration of Quasi-Dynamic Indoor Environments has been presented at the Robots Meet Prior Maps Workshop. We have also presented our recently accepted paper about privacy preservation in cloud robotics in a poster session dedicated to IEEE T-RO works.