7.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- SupélecFR486 papers
- Shandong University of Political Science and LawCN485 papers
- Dalle Molle Institute for Artificial Intelligence ResearchCH65 papers
- New York UniversityUS52 papers
- Università della Svizzera italianaCH21 papers
- Google (United States)US16 papers
- Princeton UniversityUS15 papers
- Courant Institute of Mathematical SciencesUS13 papers
- Politecnico di TorinoIT12 papers
- Meta (Israel)IL11 papers
- Massachusetts Institute of TechnologyUS10 papers
- ETH ZurichCH9 papers
19 papers · 1 filter
DynaMimicGen: A Data Generation Framework for Robot Learning of Dynamic Tasks
Vincenzo Pomponi, Paolo Franceschi, Stefano Baraldo +4
Learning robust manipulation policies typically requires large and diverse datasets, the collection of which is time-consuming, labor-intensive, and often impractical for dynamic e…
Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling
Paolo Franceschi, Andrea Bussolan, Vincenzo Pomponi +3
Nowadays, industries are showing a growing interest in human-robot collaboration, particularly for shared tasks. This requires intelligent strategies to plan a robot's motions, con…
An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs
Luca Crupi, Luca Butera, Alberto Ferrante +2
Efficient crop production requires early detection of pest outbreaks and timely treatments; we consider a solution based on a fleet of multiple autonomous miniaturized unmanned aer…
The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
Angelo Moroncelli, Vishal Soni, Marco Forgione +3
Recently, generative AI and reinforcement learning (RL) have been redefining what is possible for AI agents that take information flows as input and produce intelligent behavior. A…
Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of its LEDs
Nicholas Carlotti, Mirko Nava, Alessandro Giusti
We consider the problem of training a fully convolutional network to estimate the relative 6D pose of a robot given a camera image, when the robot is equipped with independent cont…
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate +7
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone…
Self-Supervised Prediction of the Intention to Interact with a Service Robot
Gabriele Abbate, Alessandro Giusti, Viktor Schmuck +2
A service robot can provide a smoother interaction experience if it has the ability to proactively detect whether a nearby user intends to interact, in order to adapt its behavior…
Predicting human motion intention for pHRI assistive control
Paolo Franceschi, Fabio Bertini, Francesco Braghin +3
This work addresses human intention identification during physical Human-Robot Interaction (pHRI) tasks to include this information in an assistive controller. To this purpose, hum…
Modeling and analysis of pHRI with Differential Game Theory
Paolo Franceschi, Manuel Beschi, Nicola Pedrocchi +1
Applications involving humans and robots working together are spreading nowadays. Alongside, modeling and control techniques that allow physical Human-Robot Interaction (pHRI) are…
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors
Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda +2
Precise relative localization is a crucial functional block for swarm robotics. This work presents a novel autonomous end-to-end system that addresses the monocular relative locali…
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
Elia Cereda, Luca Crupi, Matteo Risso +5
Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending topic. With their form factor as big as the palm of one hand, they can reach spots otherwise in…
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
Elia Cereda, Stefano Bonato, Mirko Nava +2
Vision-based deep learning perception fulfills a paramount role in robotics, facilitating solutions to many challenging scenarios, such as acrobatic maneuvers of autonomous unmanne…
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks
Dario Mantegazza, Carlos Redondo, Fran Espada +3
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robo…
VIPose: Real-time Visual-Inertial 6D Object Pose Tracking
Rundong Ge, Giuseppe Loianno
Estimating the 6D pose of objects is beneficial for robotics tasks such as transportation, autonomous navigation, manipulation as well as in scenarios beyond robotics like virtual…
Learning Locomotion Controllers for Walking Using Deep FBSDE
Bolun Dai, Virinchi Roy Surabhi, Prashanth Krishnamurthy +1
In this paper, we propose a deep forward-backward stochastic differential equation (FBSDE) based control algorithm for locomotion tasks. We also include state constraints in the FB…
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Mirko Nava, Antonio Paolillo, Jérôme Guzzi +2
We propose a general self-supervised learning approach for spatial perception tasks, such as estimating the pose of an object relative to the robot, from onboard sensor readings. T…
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang, Tete Xiao, Alexei A. Efros +2
At the heart of many robotics problems is the challenge of learning correspondences across domains. For instance, imitation learning requires obtaining correspondence between human…
Swoosh! Rattle! Thump! -- Actions that Sound
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
Truly intelligent agents need to capture the interplay of all their senses to build a rich physical understanding of their world. In robotics, we have seen tremendous progress in u…
Relative Visual Localization for Unmanned Aerial Systems
Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou +2
Cooperative Unmanned Aerial Systems (UASs) in GPS-denied environments demand an accurate pose-localization system to ensure efficient operation. In this paper we present a novel vi…