15 citations · 24 across the 10 of their papers we have counts for
11 papers
Acceptable Misalignment
Maud van Lier, Ludovica Marinucci, Vieri Giuliano Santucci +4
There is a specific challenge designers face in developing autonomous robots capable of open-ended learning. This challenge is how one can develop such systems in an ethically soun…
Autonomously Acquiring Robot Manipulation Skills with Language-Driven Quality-Diversity
Émiland Garrabé, Mahdi Khoramshahi, Stéphane Doncieux
Quality-diversity (QD) algorithms have been gaining traction in robot learning, where diverse motion primitive libraries allow robots to adapt zero-shot to constraints at deploymen…
Free-Gate: Planning, Control And Policy Composition via Free Energy Gating
Francesca Rossi, Émiland Garrabé, Giovanni Russo
We consider the problem of optimally composing a set of primitives to tackle planning and control tasks. To address this problem, we introduce a free energy computational model for…
Task-Aware Robotic Grasping by evaluating Quality Diversity Solutions through Foundation Models
Aurel X. Appius, Emiland Garrabe, Francois Helenon +3
Task-aware robotic grasping is a challenging problem that requires the integration of semantic understanding and geometric reasoning. This paper proposes a novel framework that lev…
Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction
Émiland Garrabé, Pierre Teixeira, Mahdi Khoramshahi +1
Recent advances in large language models (LLMs) have led to significant progress in robotics, enabling embodied agents to better understand and execute open-ended tasks. However, e…
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
Emiland Garrabe, Hozefa Jesawada, Carmen Del Vecchio +1
This paper is concerned with a finite-horizon inverse control problem, which has the goal of reconstructing, from observations, the possibly non-convex and non-stationary cost driv…
On a Probabilistic Approach for Inverse Data-Driven Optimal Control
Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio +1
We consider the problem of estimating the possibly non-convex cost of an agent by observing its interactions with a nonlinear, non-stationary and stochastic environment. For this i…
Optimal Decision-Making for Autonomous Agents via Data Composition
Emiland Garrabe, Martina Lamberti, Giovanni Russo
We consider the problem of designing agents able to compute optimal decisions by composing data from multiple sources to tackle tasks involving: (i) tracking a desired behavior whi…
CRAWLING: a Crowdsourcing Algorithm on Wheels for Smart Parking
Émiland Garrabé, Giovanni Russo
We present the principled design of CRAWLING: a CRowdsourcing Algorirthm on WheeLs for smart parkING. CRAWLING is an in-car service for the routing of connected cars. Specifically,…
Probabilistic design of optimal sequential decision-making algorithms in learning and control
Emiland Garrabe, Giovanni Russo
This survey is focused on certain sequential decision-making problems that involve optimizing over probability functions. We discuss the relevance of these problems for learning an…
On the design of autonomous agents from multiple data sources
Émiland Garrabé, Giovanni Russo
This paper is concerned with the problem of designing agents able to dynamically select information from multiple data sources in order to tackle tasks that involve tracking a targ…