Easily Deployable Underwater Acoustic Navigation System for Multi-Vehicle Environmental Sampling Applications

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Calibration between robots and cameras is critical in automated robot vision systems. However, conventional manually conducted image-based calibration techniques are often limited by their accuracy sensitivity and poor adaptability to dynamic or unstructur ...

The ability to make compliant physical interactions enables robots to robustly contact with the environment. This plays a significant role in advancing robotic hands which must constantly interact with the world, often with large uncertainties and variatio ...

In digital timber construction, scanning technologies and point cloud data are widely used due to the accessibility of affordable 3D sensors, photogrammetry, and userfriendly CAD tools. While typically not employed for accuracy checks in timber fabrication ...

The use of soft and compliant manipulators in marine environments represents a promising paradigm shift for subsea inspection, with devices better suited to tasks owing to their ability to safely conform to items during contact. However, limitations driven ...

Navigation of drones is predominantly based on sensor fusion algorithms. Most of these algorithms make use of some form of Bayesian filtering with a majority employing an Extended Kalman Filter (EKF), wherein inertial measurements are fused with a Global N ...

Autonomous navigation of small UAVs is typically based on the integration of inertial navigation systems (INS) together with global navigation satellite systems (GNSS). However, GNSS signals can face various forms of interference affecting their continuous ...

This article investigates the performance and accuracy of continuous Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The a ...

This study aims to identify an optimal, as well as practical, parametric structure for a delta-wing UAV aerodynamic model for the purpose of model-based navigation. We present a comprehensive procedure for characterizing the aerodynamics of this platform, ...

Autonomous navigation of drones in environments with intermittently poor GNSS reception remains a complex problem with small and lightweight sensors. Conventional kinematic frameworks, fusing inertial sensors with satellite positioning, often falter under ...

The robotic manipulation of deformable linear objects is a frontier problem with many potential applications in diverse industries. However, most existing research in this area focuses on shape control for a provided explicit goal and does not consider phy ...

Soft robots are being increasingly developed and deployed for underwater applications such as exploration, monitoring, and rescue owing to their innate compliance, mechanical and chemical stability, and waterproof properties. However, they are still predom ...

TimberSLAM (TSLAM) is an object-centered, tag-based visual self-localization and mapping (SLAM) system for monocular RGB cameras. It was specifically developed to support a robust and augmented reality pipeline for close-range, noisy, and cluttered fabrica ...

The exploration of the lunar poles and the collection of samples from the martian surface are characterized by shorter time windows demanding increased autonomy and speeds. Autonomous mobile robots must intrinsically cope with a wider range of disturbances ...

In spatial timber assemblies, a multitude of factors can lead to errors that hinder the implementation of complete automation including but not limited to inaccuracies of the robotic setup, deformations of the structures during assembly, or the natural dim ...

Path-following control is a critical technology for autonomous vehicles. However, time-varying parameters, parametric uncertainties, external disturbances, and complicated environments significantly challenge autonomous driving. We propose an iterative rob ...

The success of drone missions is incumbent on an accurate determination of the drone pose and velocity, which are collectively estimated by fusing iner- tial measurement unit and global navigation satellite system (GNSS) mea- surements. However, during a G ...

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensions. Here we propose a new reconfigurable drone based on a modular design th ...

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

Today, wearable heart rate monitors are an integral part of runners' training sessions, with heart rate data routinely used to assess effort intensity and stress on the body. As athletes translate their physical capacity into performance on the field throu ...

Easily Deployable Underwater Acoustic Navigation System for Multi-Vehicle Environmental Sampling Applications

Chattez avec Graph Search

A data-efficient and general-purpose hand–eye calibration method for robotic systems using next best view

Experimental assessment, design, and control of compliance in dexterous robotic hands

DiffCheck: A scan-CAD evaluation tool for digital manufacturing and assembly processes in timber construction

Closed-Loop Control and Disturbance Mitigation of an Underwater Multi-Segment Continuum Manipulator

VDMNav: Software Architecture for Aerodynamically Constrained Navigation on Small Fixed-Wing Drones

VDM-based navigation for Delta-wing UAVs: Models, calibration, implementation

Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

Aerodynamic modeling of a delta-wing UAV for model-based navigation

Model-Based Fusion of GNSS and Multiple-IMUs

Rearranging Deformable Linear Objects for Implicit Goals with Self-Supervised Planning and Control

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

TSLAM: a tag-based object-centered monocular navigation system for augmented manual woodworking

Enabling Faster Locomotion of Planetary Rovers With a Mechanically-Hybrid Suspension

Assembly of Spaceframes in Hybrid Teams: Adaptive Digital Fabrication Workflows for Human-Robot Collaboration

Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics

Identifying aerodynamics of small fixed-wing drones using inertial measurements for model-based navigation

Identifying important sensory feedback for learning locomotion skills

Reconfigurable Drone System for Transportation of Parcels With Variable Mass and Size

Human-machine interface for two-dimensional steering control with the auricular muscles

Towards real-world biomechanical analysis of performance and functional capacity using wearable sensors