Intearcting Brownian Swarms: Some Analytical Results

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Control design for robotic systems is complex and often requires solving an optimization to follow a trajectory accurately. Online optimization approaches like Model Predictive Control (MPC) have been shown to achieve great tracking performance, but requir ...

Aerial robot swarms have the potential to perform time-critical and dangerous tasks such as disaster response without compromising human safety. However, their reliance on external infrastructure such as global positioning for localization and wireless net ...

Robotic technologies have shown the capability to interact with living organisms and even to form integrated mixed societies composed of living and artificial agents. Biocompatible robots, incorporating sensing and actuation capable of generating and respo ...

Aerial robot swarms can have a large socio-economic impact. They can perform time-critical missions faster than a single robot and access dangerous environments without compromising human safety. However, swarm deployment is often limited to free environme ...

In this thesis, we address the complex issue of collision avoidance in the joint space of robots. Avoiding collisions with both the robot's own body parts and obstacles in the environment is a critical constraint in motion planning and is crucial for ensur ...

An optimal planning algorithm enables swarms of flying robots to explore unknown environments autonomously and safely. ...

Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks ...

The quantification of uncertainties can be particularly challenging for problems requiring long-time integration as the structure of the random solution might considerably change over time. In this respect, dynamical low-rank approximation (DLRA) is very a ...

The success of social robots, even (or, especially) in use cases as simple as "manning" a booth to promote a product in a shopping mall, depends on their ability of interacting with humans in a timely, effective and enjoyable way. In this paper we present ...

Computational thinking (CT) is considered an emerging competence domain linked to 21st-century competences, and educational robotics (ER) is increasingly recognised as a tool to develop CT competences. This is why researchers recommend developing intervent ...

Swarming behaviors are ubiquitous in nature, and an important topic to teach and learn. In the learning sciences domain of complex systems understanding, studies have shown that novices tend to assume that centralized control and leadership should exist wh ...

Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. Although most vision-based control algorithms rely on th ...

Intearcting Brownian Swarms: Some Analytical Results

Chat with Graph Search

Training Efficient Controllers via Analytic Policy Gradient

Vision-based Flocking in Aerial Robot Swarms

A robotic honeycomb for interaction with a honeybee colony

Model Predictive Control of Aerial Swarms

Implicit Distance Functions: Learning and Applications in Robotics

Swarms of flying robots in unknown environments

Tales from a Robotic World. How Intelligent Machines Will Shape Our Future

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

A Case for the Design of Attention and Gesture Systems for Social Robots

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school

Cellulan World: Interactive Platform to Learn Swarm Behaviors

On the Scalability of Vision-based Drone Swarms in the Presence of Occlusions