Alois Knoll

Preserving and combining knowledge in robotic lifelong reinforcement learning

Modumer: Modulating Transformer for Image Restoration

LIEDNet: A Lightweight Network for Low-Light Enhancement and Deblurring

Omni-Kernel Network for Image Restoration

Revitalizing Convolutional Network for Image Restoration

EENet: An effective and efficient network for single image dehazing

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Humidity Stable Thermoelectric Hybrid Materials Toward a Self‐Powered Triple Sensing System

A multi-dimensional tactile perception system based on triboelectric sensors: Towards intelligent sorting without seeing

Omni-Kernel Modulation for Universal Image Restoration

Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments

Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview

Focal Network for Image Restoration

Image Restoration via Frequency Selection

Safe multi-agent reinforcement learning for multi-robot control

Dual-Domain Attention for Image Deblurring

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems

Lateral flexion of a compliant spine improves motor performance in a bioinspired mouse robot

PI-ELM: Reinforcement learning-based adaptable policy improvement for dynamical system

FastFusion: Deep stereo‐LiDAR fusion for real‐time high‐precision dense depth sensing

The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing

Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments

Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity

A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning

Towards Robotic-Assisted Subretinal Injection: A Hybrid Parallel–Serial Robot System Design and Preliminary Evaluation

Mixed Frame-/Event-Driven Fast Pedestrian Detection

A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks