656 citations · 701 across the 18 of their papers we have counts for
19 papers
INTERACT: Interactive Planning for Autonomous Driving via Anchor-Conditioned Prediction and Trust-Region Refinement
Aron Distelzweig, Andreas Look, Faris Janjoš +3
Driving in dense urban traffic is interactive: whether a merge or an unprotected turn succeeds depends on how surrounding agents respond to the ego vehicle. Conventional planners p…
Conflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path Finding
Lukas Heuer, Yufei Zhu, Luigi Palmieri +4
Deploying multi-robot systems in environments shared with dynamic and uncontrollable agents presents significant challenges, especially for large robot fleets. In such environments…
Towards Using Fast Embedded Model Predictive Control for Human-Aware Predictive Robot Navigation
Till Hielscher, Lukas Heuer, Frederik Wulle +1
Predictive planning is a key capability for robots to efficiently and safely navigate populated environments. Particularly in densely crowded scenes, with uncertain human motion pr…
THÖR-MAGNI: A Large-scale Indoor Motion Capture Recording of Human Movement and Robot Interaction
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu +7
We present a new large dataset of indoor human and robot navigation and interaction, called THÖR-MAGNI, that is designed to facilitate research on social navigation: e.g., modellin…
Receding Horizon Re-ordering of Multi-Agent Execution Schedules
Alexander Berndt, Niels van Duijkeren, Luigi Palmieri +2
The trajectory planning for a fleet of Automated Guided Vehicles (AGVs) on a roadmap is commonly referred to as the Multi-Agent Path Finding (MAPF) problem, the solution to which d…
An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard
Niels van Duijkeren, Luigi Palmieri, Ralph Lange +1
This paper provides a perspective on the literature and current challenges in Multi-Agent Systems for interoperable robot navigation in industry. The focus is on the multi-agent de…
CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction
Yufei Zhu, Andrey Rudenko, Tomasz P. Kucner +4
Human motion prediction is important for mobile service robots and intelligent vehicles to operate safely and smoothly around people. The more accurate predictions are, particularl…
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation
Yash Goel, Narunas Vaskevicius, Luigi Palmieri +2
We investigate the task of object goal navigation in unknown environments where the target is specified by a semantic label (e.g. find a couch). Such a navigation task is especiall…
The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu +9
Rapid development of social robots stimulates active research in human motion modeling, interpretation and prediction, proactive collision avoidance, human-robot interaction and co…
The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction
Andrey Rudenko, Luigi Palmieri, Wanting Huang +2
Human motion trajectory prediction, an essential task for autonomous systems in many domains, has been on the rise in recent years. With a multitude of new methods proposed by diff…
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments
Andrey Rudenko, Luigi Palmieri, Johannes Doellinger +2
Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance. While learning from…
A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph
Alexander Berndt, Niels Van Duijkeren, Luigi Palmieri +1
In this paper we consider multiple Automated Guided Vehicles (AGVs) navigating a common workspace to fulfill various intralogistics tasks, typically formulated as the Multi-Agent P…
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots
Eric Heiden, Luigi Palmieri, Kai O. Arras +2
Planning smooth and energy-efficient motions for wheeled mobile robots is a central task for applications ranging from autonomous driving to service and intralogistic robotics. Ove…
CIAO: MPC-based Safe Motion Planning in Predictable Dynamic Environments
Tobias Schoels, Per Rutquist, Luigi Palmieri +3
Robots have been operating in dynamic environments and shared workspaces for decades. Most optimization based motion planning methods, however, do not consider the movement of othe…
Dispertio: Optimal Sampling for Safe Deterministic Sampling-Based Motion Planning
Luigi Palmieri, Leonard Bruns, Michael Meurer +1
A key challenge in robotics is the efficient generation of optimal robot motion with safety guarantees in cluttered environments. Recently, deterministic optimal sampling-based mot…
An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Avoidance
Tobias Schoels, Luigi Palmieri, Kai O. Arras +1
Even though mobile robots have been around for decades, trajectory optimization and continuous time collision avoidance remain subject of active research. Existing methods trade of…
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko, Luigi Palmieri, Michael Herman +3
With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly…
A Fast Randomized Method to Find Homotopy Classes for Socially-Aware Navigation
Luigi Palmieri, Andrey Rudenko, Kai O. Arras
We introduce and show preliminary results of a fast randomized method that finds a set of K paths lying in distinct homotopy classes. We frame the path planning task as a graph sea…
A behavioural approach to obstacle avoidance for mobile manipulators based on distributed sensing
Luigi Palmieri
A reactive obstacle avoidance method for mobile manipulators is presented. The objectives of the developed algorithm are twofold. The first one is to find a trajectory in the confi…