Luigi Palmieri | DeepAI

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Gaurav S. Sukhatme
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Cyrill Stachniss
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Andrea Passarella
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Kris M. Kitani
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Achim J. Lilienthal
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Chiara Boldrini
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∙ 09/13/2023

CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction

Human motion prediction is important for mobile service robots and intel...

0 Yufei Zhu, et al. ∙

∙ 07/29/2023

The effect of network topologies on fully decentralized learning: a preliminary investigation

In a decentralized machine learning system, data is typically partitione...

0 Luigi Palmieri, et al. ∙

∙ 10/17/2022

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation

We investigate the task of object goal navigation in unknown environment...

4 Yash Goel, et al. ∙

∙ 08/31/2022

The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized

Rapid development of social robots stimulates active research in human m...

0 Tim Schreiter, et al. ∙

∙ 07/20/2022

The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction

Human motion trajectory prediction, an essential task for autonomous sys...

0 Andrey Rudenko, et al. ∙

∙ 02/17/2021

Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments

Understanding and anticipating human activity is an important capability...

0 Andrey Rudenko, et al. ∙

∙ 10/11/2020

A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph

In this paper we consider multiple Automated Guided Vehicles (AGVs) navi...

5 Alexander Berndt, et al. ∙

∙ 03/07/2020

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

Planning smooth and energy-efficient motions for wheeled mobile robots i...

8 Eric Heiden, et al. ∙

∙ 01/15/2020

CIAO^: MPC-based Safe Motion Planning in Predictable Dynamic Environments

Robots have been operating in dynamic environments and shared workspaces...

0 Tobias Schoels, et al. ∙

∙ 09/30/2019

Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning

A key challenge in robotics is the efficient generation of optimal robot...

0 Luigi Palmieri, et al. ∙

∙ 09/18/2019

An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Freedom

Even though mobile robots have been around for decades, trajectory optim...

0 Tobias Schoels, et al. ∙

∙ 05/15/2019

Human Motion Trajectory Prediction: A Survey

With growing numbers of intelligent systems in human environments, the a...

0 Andrey Rudenko, et al. ∙

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