Enactive robot vision

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Motor adaptation allows organisms to adjust their movements in response to environmental changes, ensuring the successful execution of actions. While detailed behavioral studies in humans have inferred mechanisms underlying motor adaptationâ such as the r ...

Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational tec ...

Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data in their ...

Adiabatic quantum-flux parametron (AQFP) is an energy-efficient superconducting technology. Before physical design can be performed, AQFP technology mapping involves not only mapping logic into supported gate types but also legalizing the circuit to fulfil ...

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 ...

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 ...

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

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 ...

Social insects, such as ants, termites, and honeybees, have evolved sophisticated societies where the collaborative efforts of "simple" individuals can lead to the emergence of complex dynamics. The reliance of each organism on the collective is so great t ...

Monitoring forests, in particular their response to climate and land use change, requires studying long time scales. While efficient deep learning methods have been developed to process short time series of satellite imagery, leveraging long time series of ...

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 ...

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 ...

Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from simulatio ...

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 ...

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 ...

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 ...

In various robotics applications, the selection of function approximation methods greatly influences the feasibility and computational efficiency of algorithms. Tensor Networks (TNs), also referred to as tensor decomposition techniques, present a versatile ...

Robotics is entering our daily lives. The discipline is increasingly crucial in fields such as agriculture, medicine, and rescue operations, impacting our food, health, and planet. At the same time, it is becoming evident that robotic research must embrace ...

Orthogonal frequency-division multiplexing (OFDM) is widely used to mitigate inter-symbol interference (ISI) from multipath fading. However, the open nature of wireless OFDM systems makes them vulnerable to jamming attacks. In this context, pilot jamming i ...

Controlling complex tasks in robotic systems, such as circular motion for cleaning or following curvy lines, can be dealt with using nonlinear vector fields. This article introduces a novel approach called the rotational obstacle avoidance method (ROAM) fo ...

Enactive robot vision

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Mice Use Prediction Errors to Adapt to Visuomotor Perturbations in Virtual Reality

Metacognition meets AI: Empowering reflective writing with large language models

Source-Free Domain-Invariant Performance Prediction

Technology Legalization and Optimization for Adiabatic Quantum-Flux Parametron

Online Multicontact Receding Horizon Planning via Value Function Approximation

Memento Mori: Reliable robustness in self-reconfigurable modular robots

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

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

A Biohybrid Superorganism - Investigating honeybees' collective behaviors via interactive robotics

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

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

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

Quantifying the biomimicry gap in biohybrid robot-fish pairs

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

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

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

Robot Learning using Tensor Networks

Soft Robotics: A Route to Equality, Diversity, and Inclusivity in Robotics

Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems

Avoidance of Concave Obstacles Through Rotation of Nonlinear Dynamics