Search Results for author:
Found 15 papers, 3 papers with code
EventSleep: Sleep Activity Recognition with Event Cameras
Our novel pipeline is able to achieve high accuracy under these challenging conditions and incorporates a Bayesian approach (Laplace ensembles) to increase the robustness in the predictions, which is fundamental for medical applications.
SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
The increase in non-biodegradable waste is a worldwide concern.
CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models
A formation is visually represented through alpha-shape contours and the most representative color is automatically found for the input word.
ECO-DKF: Event-Triggered and Certifiable Optimal Distributed Kalman Filter under Unknown Correlations
Our algorithm addresses two major issues inherent to Distributed Kalman Filters: (i) fully distributed and scalable optimal estimation and (ii) reduction of the communication bandwidth usage.
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks
The graph identification problem consists of discovering the interactions among nodes in a network given their state/feature trajectories.
Distributed outer approximation of the intersection of ellipsoids
The outer Lowner-John method is widely used in sensor fusion applications to find the smallest ellipsoid that can approximate the intersection of a set of ellipsoids, described by positive definite covariance matrices modeling the quality of each sensor.
Active Classification of Moving Targets with Learned Control Policies
In this paper, we consider the problem where a drone has to collect semantic information to classify multiple moving targets.
Multi-robot Implicit Control of Massive Herds
The problem is very challenging due to the highly complex repulsive evaders' dynamics and the underdetermined states to control.
LEMURS: Learning Distributed Multi-Robot Interactions
This paper presents LEMURS, an algorithm for learning scalable multi-robot control policies from cooperative task demonstrations.
Adaptive Multi-robot Implicit Control of Heterogeneous Herds
This paper presents a novel control strategy to herd groups of non-cooperative evaders by means of a team of robotic herders.
All-in-one: Certifiable Optimal Distributed Kalman Filter under Unknown Correlations
Using only information from one-hop neighbours, CO-DKF solves the optimal fusion of estimates under unknown correlations by a particular tight Semidefinite Programming (SDP) relaxation which allows to certify, locally and in real time, if the relaxed solution is the actual optimum.
Distributed Multi-Target Tracking in Camera Networks
On the other hand, data association and information fusion are more challenging than in a centralized setup, mostly due to the lack of global and complete information.
Multi-robot Implicit Control of Herds
This paper presents a novel control strategy to herd a group of non-cooperative evaders by means of a team of robotic herders.
CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes
Drones and Unmanned Aerial Vehicles (UAV's) are becoming increasingly popular in the film and entertainment industries in part because of their maneuverability and the dynamic shots and perspectives they enable.
Robotics
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
To be successful in multi-player drone racing, a player must not only follow the race track in an optimal way, but also compete with other drones through strategic blocking, faking, and opportunistic passing while avoiding collisions.
Robotics
