activity
20092021
most citedAddressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

33 citations · 90 across the 17 of their papers we have counts for

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11 papers · 1 filter

cs.RO20217 cited

Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming

Tobias Kessler, Klemens Esterle, Alois Knoll

Cooperatively planning for multiple agents has been proposed as a promising method for strategic and motion planning for automated vehicles. By taking into account the intent of ev…

cs.RO2021

A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor

Genghang Zhuang, Carlo Cagnetta, Zhenshan Bing +2

Localization in the environment is an essential navigational capability for animals and mobile robots. In the indoor environment, the global localization problem remains challengin…

cs.RO202117 cited

Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning

Julian Bernhard, Robert Gieselmann, Klemens Esterle +1

Interaction-aware planning for autonomous driving requires an exploration of a combinatorial solution space when using conventional search- or optimization-based motion planners. W…

cs.RO2020

Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning

Klemens Esterle, Luis Gressenbuch, Alois Knoll

Autonomous vehicles need to abide by the same rules that humans follow. Some of these traffic rules may depend on multiple agents or time. Especially in situations with traffic par…

cs.RO2020

Formalizing Traffic Rules for Machine Interpretability

Klemens Esterle, Luis Gressenbuch, Alois Knoll

Autonomous vehicles need to be designed to abide by the same rules that humans follow. This is challenging, because traffic rules are fuzzy and not well defined, making them incomp…

cs.RO20203 cited

Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors

Qian Feng, Zhaopeng Chen, Jun Deng +3

An unstable grasp pose can lead to slip, thus an unstable grasp pose can be predicted by slip detection. A regrasp is required afterwards to correct the grasp pose in order to fini…