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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...
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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...
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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...
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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...
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07/20/2022
The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction
Human motion trajectory prediction, an essential task for autonomous sys...
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02/17/2021
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
Understanding and anticipating human activity is an important capability...
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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...
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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...
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01/15/2020
CIAO^: MPC-based Safe Motion Planning in Predictable Dynamic Environments
Robots have been operating in dynamic environments and shared workspaces...
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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...
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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...
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05/15/2019