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Alexis Linard

5 accepted papers

2024

Hand It to Me Formally! Data-Driven Control for Human-Robot Handovers With Signal Temporal Logic

RA-L 2024

To facilitate human-robot interaction (HRI), we aim for robot behavior that is efficient, transparent, and closely resembles human actions. Signal Temporal Logic (STL) is a formal language that enables the specification and verification of complex temporal properties in robotic systems, helping to e

Cited by 1SourceScholar
2023

Real-Time RRT* with Signal Temporal Logic Preferences

IROS 2023poster

Signal Temporal Logic (STL) is a rigorous specification language that allows one to express various spatio-temporal requirements and preferences. Its semantics (called robustness) allows quantifying to what extent are the STL specifications met. In this work, we focus on enabling STL constraints and…

Cited by 13SourceScholar
2022

Inference of Multi-Class STL Specifications for Multi-Label Human-Robot Encounters

IROS 2022poster

This paper is interested in formalizing human trajectories in human-robot encounters. Inspired by robot navigation tasks in human-crowded environments, we consider the case where a human and a robot walk towards each other, and where humans have to avoid colliding with the incoming robot. Further, h…

Cited by 7SourceScholar
2021

Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference

IROS 2021poster

In this paper, we are interested in formalizing human trajectories in human-robot encounters. We consider a particular case where a human and a robot walk towards each other. A question that arises is whether, when, and how humans will deviate from their trajectory to avoid a collision. These human…

Cited by 7SourceScholar