Energy Efficient Swarm Deployment for Search in Unknown Environments

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Birds have the remarkable ability to travel boundlessly both on the ground and in the air. This unique capability has inspired engineers to develop multimodal robots capable of terrestrial and aerial locomotion for a wider application of robots with multip ...

Developing autonomous robots capable of learning complex motions from demonstrations remains a fundamental challenge in robotics. On the one hand, movement primitives (MP) provide a compact and modular representation of continuous trajectories. On the othe ...

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 ...

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 ...

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

The eyes of arthropods, such as those found in bees and dragonflies, are sophisticated 3D vision tools that are composed of an array of directional microlenses. Despite the attempts in achieving artificial panoramic vision by mimicking arthropod eyes with ...

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 ...

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 ...

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 ...

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 ...

As demonstrated by the Soft Robotics Toolkit Platform, compliant robotics pose an exciting educational opportunity. Underwater robotics using soft undulating fins is an expansive research topic with applications such as exploration of underwater life or re ...

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 ...

Shape-changing robots adapt their own morphology to address a wider range of functions or environments than is possible with a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configuration emerges from the underlying m ...

Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

Fully exploiting soft robots' capabilities requires devising strategies that can accurately control their movements with the limited amount of control sources available. This task is challenging for reasons including the hard-to-model dynamics, the system' ...

Sensing forms an integral part of soft matter based robots due to their compliance, dependence on loading conditions, and virtually infinite degrees of freedom. Previous studies have developed several extrinsic sensors and embedded them into soft actuators ...

Soft robots aim to revolutionize how robotic systems interact with the environment thanks to their inherent compliance. Some of these systems are even able to modulate their physical softness. However, simply equipping a robot with softness will not genera ...

Haptic perception of softness is a unique feature of the human skin that relies on the concurrent measurements of the lateral deformation and compression of the skin during object manipulation. This is challenging to implement in robotics because of combin ...

Programming intelligent robots requires robust controllers that can achieve desired tasks while adapting to the changes in the task and the environment. In this thesis, we address the challenges in designing such adaptive and anticipatory feedback controll ...

Aquatic creatures exhibit remarkable adaptations of their body to efficiently interact with the surrounding fluid. The tight coupling between their morphology, motion, and the environment are highly complex but serves as a valuable example when creating bi ...

Energy Efficient Swarm Deployment for Search in Unknown Environments

Chattez avec Graph Search

Avian-inspired designs for multi-modal robots

From Movement Primitives to Distance Fields to Dynamical Systems

Memento Mori: Reliable robustness in self-reconfigurable modular robots

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

Small-scale robotic devices for medical interventions in the brain

Bio-inspired flat optics for directional 3D light detection and ranging

Robot Learning using Tensor Networks

Gas Sensing with Rotary-Wing Nano Aerial Vehicles

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

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Educational Soft Underwater Robot with an Electromagnetic Actuation

Online Multicontact Receding Horizon Planning via Value Function Approximation

Morphological flexibility in robotic systems through physical polygon meshing

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

A Provably Stable Iterative Learning Controller for Continuum Soft Robots

Sensorless force and displacement estimation in soft actuators

Prescribing Cartesian Stiffness of Soft Robots by Co-Optimization of Shape and Segment-Level Stiffness

Liquid Metal-Based Sensor Skin Enabling Haptic Perception of Softness

Learning and optimization of anticipatory feedback controllers for robot manipulation

Control and Morphology Optimization of Passive Asymmetric Structures for Robotic Swimming