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Found 14 papers, 2 papers with code
Discrete Cosserat Approach for Multi-Section Soft Robots Dynamics
In spite of recent progress, soft robotics still suffers from a lack of unified modeling framework.
Robotics
Risk-Aware Reasoning for Autonomous Vehicles
Third, a planning subsystem that takes into account the uncertainty, from perception and intention recognition subsystems, and propagates all the way to control policies that explicitly bound the risk of collision.
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect the tomato in any life cycle stage (flower to the ripe tomato).
A nutritional strategy to promote gilthead seabream performance under low temperatures
ECOSup diet was supplemented with a mix of feed additives intended to promote fish growth and feed intake.
Underwater Image Enhancement Using Pre-trained Transformer
The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches.
Real-Time Face Recognition System
Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance.
Robot Person Following in Uniform Crowd Environment
We present a new robot person tracking system with a new RGB-D tracker, Deep Tracking with RGB-D (DTRD) that is resilient to tricky challenges introduced by the uniform crowd environment.
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
In this paper, we propose a risk-aware intelligent intersection system for autonomous vehicles (AVs) as well as human-driven vehicles (HVs).
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
The efficiency of the Tensor Processing Unit (TPU) is irrelevant and similar to NVIDIA Jetson TX2.
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data.
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
The proposed solution enables superior performance under various distortion levels in detection over current state-of-art methods.
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
To address the hurdles faced by existing robotic couriers, this paper introduces a customer-centric and safety-conscious LMD system for small urban communities based on AI-assisted autonomous delivery robots.
3D tomatoes' localisation with monocular cameras using histogram filters
Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects' spatial position.
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack
Toward this, recent advances in neuromorphic computing with Spiking Neural Networks (SNN) have demonstrated the potential to enable the embodied intelligence for robotics through bio-plausible computing paradigm that mimics how the biological brain works, known as "neuromorphic artificial intelligence (AI)".
