activity
20132020
most citedGeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

8 citations · 12 across the 7 of their papers we have counts for

collaborators

10 papers

cs.RO20208 cited

GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization

Eric Cristofalo, Eduardo Montijano, Mac Schwager

We present a consensus-based distributed pose graph optimization algorithm for obtaining an estimate of the 3D translation and rotation of each pose in a pose graph, given noisy re…

cs.RO20201 cited

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction

Haruki Nishimura, Boris Ivanovic, Adrien Gaidon +2

This paper presents a novel online framework for safe crowd-robot interaction based on risk-sensitive stochastic optimal control, wherein the risk is modeled by the entropic risk m…

cs.RO2020

Distributed Motion Control for Multiple Connected Surface Vessels

Wei Wang, Zijian Wang, Luis Mateos +4

We propose a scalable cooperative control approach which coordinates a group of rigidly connected autonomous surface vessels to track desired trajectories in a planar water environ…

cs.RO2020

Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments

Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang +2

We can use driving data collected over a long period of time to extract rich information about how vehicles behave in different areas of the roads. In this paper, we introduce the…

cs.RO2020

Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning

Kyle Brown, Oriana Peltzer, Martin A. Sehr +2

We study the problem of sequential task assignment and collision-free routing for large teams of robots in applications with inter-task precedence constraints (e.g., task and t…

cs.RO2020

Distributed Multi-Target Tracking for Autonomous Vehicle Fleets

Ola Shorinwa, Javier Yu, Trevor Halsted +2

We present a scalable distributed target tracking algorithm based on the alternating direction method of multipliers that is well-suited for a fleet of autonomous cars communicatin…