Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Bernard Li

dblp:74/5660 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 70% Legged, aerial and field robots · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.512021
The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter · ICRA 2021
Robotics › Motion planning and robot control
reachability analysis
0.512021
The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter · ICRA 2021
Robotics › Motion planning and robot control › reachability analysis
reachable set computation
0.512021
The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter · ICRA 2021
Robotics › Motion planning and robot control
collision avoidance
0.112021
The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter · ICRA 2021

Methods — techniques the papers use, named apart from their topics

spherical bounds · 0.5analytic reachable set bounds · 0.5
YearPublicationVenuePosition
2021 The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter
abstract
Quadcopters are increasingly popular for robotics applications. Being able to efficiently calculate the set of positions reachable by a quadcopter within a time budget enables collision avoidance and pursuit-evasion strategies.This paper examines the set of positions reachable by a quadcopter within a specified time limit using a simplified 2D model for quadcopter dynamics. This popular model is used to determine the set of candidate optimal control sequences to build the full 3D reachable set. We calculate the analytic equations that exactly bound the set of positions reachable in a given time horizon for all initial conditions. To further increase calculation speed, we use these equations to derive tight upper and lower spherical bounds on the reachable set.
Mohammad Sultan, Daniel Biediger, Bernard Li, Aaron T. Becker
ICRA3