Search Results for author:
Found 11 papers, 4 papers with code
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
Our approach provides a promising solution for domain generalization in crop segmentation and has the potential to enhance a wide variety of agriculture applications.
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
Modern robotic platforms need a reliable localization system to operate daily beside humans.
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
A Jenga game round undoubtedly embeds many traits of complex industrial or surgical manipulation tasks, requiring a multi-step strategy, the combination of visual and tactile data, and the highly precise motion of the robotic arm to perform a single block extraction.
Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
Single-Image Super-Resolution can support robotic tasks in environments where a reliable visual stream is required to monitor the mission, handle teleoperation or study relevant visual details.
Ultra-low-power Range Error Mitigation for Ultra-wideband Precise Localization
Precise and accurate localization in outdoor and indoor environments is a challenging problem that currently constitutes a significant limitation for several practical applications.
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
Domain Generalization (DG) studies the capability of a deep learning model to generalize to out-of-training distributions.
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities.
Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
In this paper, we propose a learning-based approach to tackle waypoint generation for planning a navigation path for row-based crops, starting from a top-view map of the region-of-interest.
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines.
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer.
Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless localization.
