Hybrid, metric-topological representation for localization and mapping

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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 evolution of airborne mapping witnesses the introduction of hybrid lidar-camera systems to enhance data collection, i.e. to obtain simultaneously high-density point-cloud and texture. Yet, the common adjustment of both optical data streams is a nontriv ...

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 ...

The characterization of biophilic environments, recognized for their potential to enhance well-being, requires researchers to have access to relevant metrics and methodologies when it comes to assessing this potential. Given the large diversity of well-bei ...

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 ...

Given the patchy nature of gas plumes and the slow response of conventional gas sensors, the use of mobile robots for Gas Source Localization (GSL) tasks presents significant challenges. These aspects increase the difficulties in obtaining gas measurements ...

Robots outside of the fenced factories have to deal with continuously changing environment, this requires fast and flexible modes of control. Planning methods or complex learning models can find optimal paths in complex surroundings, but they are computati ...

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 doctoral thesis navigates the complex landscape of motion coordination and formation control within teams of rotary-wing Micro Aerial Vehicles (MAVs). Prompted by the intricate demands of real-world applications such as search and rescue or surveillan ...

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, ...

Harmful chemical compounds are released daily in warehouses, chemical plants and during environmental emergencies. Their uncontrolled dispersion contributes to the pollution of the atmosphere and threatens human and animal lives. When gas leaks occur, the ...

Modular robotics link the reliability of a centralised system with the adaptivity of a decentralised system. It is difficult for a robot with a fixed shape to be able to perform many different types of tasks. As the task space grows, the number of functi ...

This paper builds up the skill of impact aware non prehensile manipulation through a hitting motion by allowing the robot arm to come in contact with the environment with parts other than its end effector. Hitting with other joints allows us to manipulate ...

Planning multicontact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large obstacles. Traditionally, the value function is approximated by computing traj ...

The tension–tension fatigue behavior of pseudo-ductile hybrid bonded-bolted double lap basalt composite joints, composed of pseudo-ductile adhesives and adherends with multi-directional fiber architecture, was experimentally investigated. The fatigue damag ...

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

The construction industry plays a major role in the high levels of greenhouse gas emissions, resource consumption, and waste generation observed nowadays. Key to the circular economy, structural component reuse arises as a promising solution to divert cons ...

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 ...

This paper presents a novel hybrid framework for generating and updating a synthetic population. We call it hybrid because it combines model-based and data-driven approaches. Existing generators produce a snapshot of synthetic data that becomes outdated ov ...

Drones hold promise to assist in civilian tasks. To realize this application, future drones must operate within large cities, covering large distances while navigating within cluttered urban landscapes. The increased efficiency of winged drones over rotary ...

Hybrid, metric-topological representation for localization and mapping

Chattez avec Graph Search

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

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

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

A review of the effectiveness of metrics for assessing human responses to biophilic environments involving views, shading, and interior design elements

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

Sense in Motion with Belief Clustering: Efficient Gas Source Localization with Mobile Robots

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

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

Distributed Predictive Formation Control of Autonomous Rotary-Wing Micro Aerial Vehicles

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

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

Memento Mori: Reliable robustness in self-reconfigurable modular robots

Hitting with Different Joints of a Robotic Manipulator

Online Multicontact Receding Horizon Planning via Value Function Approximation

Tension-tension fatigue behavior of basalt composite hybrid joints

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Model-Based Fusion of GNSS and Multiple-IMUs

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Accurate and agile flight with winged drones