activity
20142026
most citedSimple Online and Realtime Tracking

4.2k citations · 4.7k across the 41 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.RO2020

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements

Weiming Zhi, Tin Lai, Lionel Ott +1

Critical for the coexistence of humans and robots in dynamic environments is the capability for agents to understand each other's actions, and anticipate their movements. This pape…

cs.RO2020

Automatic Extension of a Symbolic Mobile Manipulation Skill Set

Julian Förster, Lionel Ott, Juan Nieto +2

Symbolic planning can provide an intuitive interface for non-expert users to operate autonomous robots by abstracting away much of the low-level programming. However, symbolic plan…

cs.RO2020★ 36 cited

A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift

Lukas Schmid, Victor Reijgwart, Lionel Ott +3

Exploration is a fundamental problem in robot autonomy. A major limitation, however, is that during exploration robots oftentimes have to rely on on-board systems alone for state e…

cs.RO2020

Learning dynamics for improving control of overactuated flying systems

Weixuan Zhang, Maximilian Brunner, Lionel Ott +3

Overactuated omnidirectional flying vehicles are capable of generating force and torque in any direction, which is important for applications such as contact-based industrial inspe…

cs.RO2020

Estimating Motion Uncertainty with Bayesian ICP

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

Accurate uncertainty estimation associated with the pose transformation between two 3D point clouds is critical for autonomous navigation, grasping, and data fusion. Iterative clos…

cs.RO2020★ 12 cited

Go Fetch: Mobile Manipulation in Unstructured Environments

Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc +7

With humankind facing new and increasingly large-scale challenges in the medical and domestic spheres, automation of the service sector carries a tremendous potential for improved…

cs.RO2020

DISCO: Double Likelihood-free Inference Stochastic Control

Lucas Barcelos, Rafael Oliveira, Rafael Possas +2

Accurate simulation of complex physical systems enables the development, testing, and certification of control strategies before they are deployed into the real systems. As simulat…