Hybrid Route Optimisation for Maximum Air to Ground Channel Quality
The urban air mobility market is expected to grow constantly due to the increased interest in new forms of transportation. Managing aerial vehicles fleets, dependent on rising technologies such as artificial intelligence and automated ground ...
Comparing Social Robot Embodiment for Child Musical Education
- Bruno de Souza Jeronimo,
- Anna Priscilla de Albuquerque Wheler,
- José Paulo G. de Oliveira,
- Rodrigo Melo,
- Carmelo J. A. Bastos-Filho,
- Judith Kelner
The present research focuses in the comparison of two social robot models running the same Human-Robot Interaction (HRI) applications targeting the context of music education for children aged 9-11, with the objective of underlying the design ...
Advanced Visual Predictive Control Scheme for the Navigation Problem
This work proposes a Visual Predictive Control (VPC) scheme adapted to the autonomous navigation problem among static obstacles. To do so, it is necessary to cope with several issues which by now limit the use of VPC in this context. Among them, ...
Design Space Survey on Social Robotics in the Market
Socially interactive robots are being introduced in daily life as common objects that facilitate people’s life. A wide range of possibilities are offered and the trends show a growing market. In this survey 40 commercial robots were analysed to ...
Exploring Multi-Loss Learning for Multi-View Fine-Grained Vehicle Classification
Electronic Toll Collection is the combination of multiple components, either technical or operational, organized to optimize system efficiency for specific requirements. Four main components constitute an ETC system: Automated Vehicle ...
Self-Regulating and Self-Perception Particle Swarm Optimization with Mutation Mechanism
Particle swarm optimization (PSO) is widely used to solve various optimization problems, such as robotics visual perception and intelligent control under uncertainties, due to its simple rules and easy implementation. However, the PSO has ...
Position-Based Visual Servoing Control for Multi-Joint Hydraulic Manipulator
Manipulators are widely used in various fields of industrial automation, and hydraulic manipulators have more extensive application in future by virtue of high power to weight ratio. However, compared with the traditional motor manipulators, the ...
OptiOdom: a Generic Approach for Odometry Calibration of Wheeled Mobile Robots
Odometry calibration adjusts the kinematic parameters or directly the robot’s model to improve the wheeled odometry accuracy. The existent literature considers in the calibration procedure only one steering geometry (differential drive, Ackerman/...
Scheduling Diagnostic Testing Kit Deliveries with the Mothership and Drone Routing Problem
A critical component in the public health response to pandemics is the ability to determine the spread of diseases via diagnostic testing kits. Currently, diagnostic testing kits, treatments, and vaccines for the COVID-19 pandemic have been ...
A CNN-based Approach for Cable-Suspended Load Lifting with an Autonomous MAV
The popularity of Micro Aerial Vehicles (MAV) to be used in civilian applications has increased in the last years. However, in most of these applications, a MAV is used to acquire aerial images and video of areas and structures of interest. ...
Risk-aware Decision-making in Human-multi-robot Collaborative Search: A Regret Theory Approach
The expected value (EV) based optimization principle often used in engineering ignores risk-related human characteristics which are however important to human-robot interaction (HRI). The characteristics include risk-perception and risk-attitudes ...
Bionic Fish Trajectory Tracking Based on a CPG and Model Predictive Control
Bionic fish have received widespread attention due to their high mobility, high concealment and high propulsion efficiency. Trajectory tracking and tracking accuracy are the main challenges in controlling the motion of bionic fish. To realize the ...
AFE-ORB-SLAM: Robust Monocular VSLAM Based on Adaptive FAST Threshold and Image Enhancement for Complex Lighting Environments
Monocular Visual Simultaneous Localisation and Mapping (VSLAM) systems are widely utilised for intelligent mobile robots to work in unknown environments. However, complex and varying illuminations challenge the accuracy and robustness of VSLAM ...
Deployable, Data-Driven Unmanned Vehicle Navigation System in GPS-Denied, Feature-Deficient Environments
This paper presents a novel data-driven navigation system to navigate an Unmanned Vehicle (UV) in GPS-denied, feature-deficient environments such as tunnels, or mines. The method utilizes landmarks that vehicle can deploy and measure range from to ...
Research on Navigation Line Extraction of Garden Mobile Robot Based on Edge Detection
The autonomous navigation of garden mobile robot plays an important role in garden monitoring and maintenance, in which the extraction of navigation line is the key technology. Due to the complexity of garden environment, the current algorithms of ...
Grasp Pose Learning from Human Demonstration with Task Constraints
To learn grasp constraints from human demonstrations, we propose a method that combines data-driven grasp constraint learning and one-shot human demonstration of tasks. By presenting task constraints in a GMM-based gripper-independent form, the ...
Evaluation of Path Planning with Force Feedback for Bilateral Teleoperation of Unmanned Rotorcraft Systems
The intervention of a human operator in tasks performed by aerial robots is relevant when the objectives require decisions that an online controller could not take adequately. In this regard, several path planning methods with haptic feedback have ...
Experimentation and Simulation with Autonomous Coverage Path Planning for UAVs
- Iago Z. Biundini,
- Aurelio G. Melo,
- Fabrício O. Coelho,
- Leonardo M. Honório,
- André L. M. Marcato,
- Milena Faria Pinto
UAVs have been widely used in many photography applications. Among photography tasks, covering an area to produce photogrammetry data is a prominent solution for commercial applications. The resources available to automate these processes, despite ...
Dynamic Modeling of a Novel Kind of Rigid-Soft Coupling Biomimetic Robotic Fish
Designs of robotic fishes are becoming more and more diversified, from totally rigid to soft, or rigid-soft coupling. Currently, most of the dynamic modeling approaches for robotic fishes have an assumption that the midline body curve follows a ...
A Simultaneous Planning and Control Method Integrating APF and MPC to Solve Autonomous Navigation for USVs in Unknown Environments
This paper is devoted to solving autonomous navigation for unmanned surface vessels (USVs) in unknown environments. To overcome the deficiency of the “first planning then tracking” motion control framework, a novel simultaneous planning and ...
An SNN-CPG Hybrid Locomotion Control for Biomimetic Robotic Fish
Biomimetic robotic fish that absorbs inspiration from fish has the advantage of high mobility, high efficiency, and low noise. However, it is still challenging to make robotic fish adapt to surrounding aquatic environments autonomously. To achieve ...
Surface Electromyography Signal Recognition Based on Deep Learning for Human-Robot Interaction and Collaboration
The interaction between humans and collaborative robots in performing given tasks has aroused the interest of researchers and industry for the development of gesture recognition systems. Surface electromyography (sEMG) devices are recommended to ...