activity
20162026
most citedDistributed State Estimation Using Intermittently Connected Robot Networks

76 citations · 116 across the 44 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.LG2022★ 4 cited

Targeted Adversarial Attacks against Neural Network Trajectory Predictors

Kaiyuan Tan, Jun Wang, Yiannis Kantaros

Trajectory prediction is an integral component of modern autonomous systems as it allows for envisioning future intentions of nearby moving agents. Due to the lack of other agents'…

cs.RO2022

Verified Compositions of Neural Network Controllers for Temporal Logic Control Objectives

Jun Wang, Samarth Kalluraya, Yiannis Kantaros

This paper presents a new approach to design verified compositions of Neural Network (NN) controllers for autonomous systems with tasks captured by Linear Temporal Logic (LTL) form…

cs.RO2022

Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information

Matthew Cleaveland, Esen Yel, Yiannis Kantaros +2

This paper addresses a safe planning and control problem for mobile robots operating in communication- and sensor-limited dynamic environments. In this case the robots cannot sense…

cs.RO2022★ 1 cited

Multi-robot Mission Planning in Dynamic Semantic Environments

Samarth Kalluraya, George J. Pappas, Yiannis Kantaros

This paper addresses a new semantic multi-robot planning problem in uncertain and dynamic environments. Particularly, the environment is occupied with non-cooperative, mobile, unce…

cs.RO2022

Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty

Mariliza Tzes, Vasileios Vasilopoulos, Yiannis Kantaros +1

In this paper we address mobile manipulation planning problems in the presence of sensing and environmental uncertainty. In particular, we consider mobile sensing manipulators oper…

cs.RO2022

Accelerated Reinforcement Learning for Temporal Logic Control Objectives

Yiannis Kantaros

This paper addresses the problem of learning control policies for mobile robots, modeled as unknown Markov Decision Processes (MDPs), that are tasked with temporal logic missions,…

eess.SY2022★ 1 cited

Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics

Christos K. Verginis, Yiannis Kantaros, Dimos V. Dimarogonas

We develop an algorithm for the motion and task planning of a system comprised of multiple robots and unactuated objects under tasks expressed as Linear Temporal Logic (LTL) constr…