activity
20132026
most citedPiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels

6 citations · 15 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments

Alkesh K. Srivastava, George P. Kontoudis, Donald Sofge +1

A "path-based sensor" produces a single observation along a continuous path. For example, a boolean path-based sensor returns a single "1" if an event of interest is detected at an…

cs.RO2023

Path-Based Sensors: Will the Knowledge of Correlation in Random Variables Accelerate Information Gathering?

Alkesh K. Srivastava, George P. Kontoudis, Donald Sofge +1

Effective communication is crucial for deploying robots in mission-specific tasks, but inadequate or unreliable communication can greatly reduce mission efficacy, for example in se…

cs.RO2023

Control and Dynamic Motion Planning for a Hybrid Air-Underwater Quadrotor: Minimizing Energy Use in a Flooded Cave Environment

Ilya Semenov, Robert Brown, Michael Otte

We present a dynamic path planning algorithm to navigate an amphibious rotor craft through a concave time-invariant obstacle field while attempting to minimize energy usage. We cre…

cs.RO2022★ 6 cited

PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels

Mohamed Khalid M Jaffar, Michael Otte

Computing kinodynamically feasible motion plans and repairing them on-the-fly as the environment changes is a challenging, yet relevant problem in robot-navigation. We propose a no…

cs.RO2020★ 1 cited

Bidirectional Sampling Based Search Without Two Point Boundary Value Solution

Sharan Nayak, Michael W. Otte

Bidirectional motion planning approaches decrease planning time, on average, compared to their unidirectional counterparts. In single-query feasible motion planning, using bidirect…

cs.RO2020★ 2 cited

Multi-Agent Coverage in Urban Environments

Shivang Patel, Senthil Hariharan, Pranav Dhulipala +4

We study multi-agent coverage algorithms for autonomous monitoring and patrol in urban environments. We consider scenarios in which a team of flying agents uses downward facing cam…

cs.RO2019

LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes

Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel +4

In this paper, we address the problem of collision avoidance for a swarm of UAVs used for continuous surveillance of an urban environment. Our method, LSwarm, efficiently avoids co…

cs.DS2016★ 1 cited

On Solving Floating Point SSSP Using an Integer Priority Queue

Michael Otte

We address the single source shortest path planning problem (SSSP) in the case of floating point edge weights. We show how any integer based Dijkstra solution that relies on a mono…

cs.RO2015★ 1 cited

Planning for Optimal Feedback Control in the Volume of Free Space

Dmitry Yershov, Michael Otte, Emilio Frazzoli

The problem of optimal feedback planning among obstacles in d-dimensional configuration spaces is considered. We present a sampling-based, asymptotically optimal feedback planning…

cs.MA2014★ 1 cited

Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms

Minghui Zhu, Michael Otte, Pratik Chaudhari +1

We consider a class of multi-robot motion planning problems where each robot is associated with multiple objectives and decoupled task specifications. The problems are formulated a…

cs.RO2013

Free-configuration Biased Sampling for Motion Planning: Errata

Joshua Bialkowski, Michael Otte, Emilio Frazzoli

This document contains improved and updated proofs of convergence for the sampling method presented in our paper "Free-configuration Biased Sampling for Motion Planning".

cs.RO2013★ 3 cited

Fast Collision Checking: From Single Robots to Multi-Robot Teams

Joshua Bialkowski, Michael Otte, Emilio Frazzoli

We examine three different algorithms that enable the collision certificate method from [Bialkowski, et al.] to handle the case of a centralized multi-robot team. By taking advanta…