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Ninad Manerikar

dblp:164/8334 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-author

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
2 papers
Robot navigation and mapping · 41% 3D vision · 41% Multi-agent systems · 14%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › camera pose estimation
homography-based pose estimation
0.312018
Attitude, Linear Velocity and Depth Estimation of a Camera Observing a Planar Target Using Continuous Homography and Inertial Data · ICRA 2018
Computer vision › 3D vision
pose estimation
0.312018
Attitude, Linear Velocity and Depth Estimation of a Camera Observing a Planar Target Using Continuous Homography and Inertial Data · ICRA 2018
Robotics › Robot navigation and mapping
state estimation
0.312018
Attitude, Linear Velocity and Depth Estimation of a Camera Observing a Planar Target Using Continuous Homography and Inertial Data · ICRA 2018
Robotics › Robot navigation and mapping › state estimation › visual state estimation
visual-inertial state estimation
0.312018
Attitude, Linear Velocity and Depth Estimation of a Camera Observing a Planar Target Using Continuous Homography and Inertial Data · ICRA 2018
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
cooperative control
0.212015
On autonomous cooperative Underwater Floating Manipulation Systems · ICRA 2015
Robotics › Legged, aerial and field robots
underwater robotics
0.112015
On autonomous cooperative Underwater Floating Manipulation Systems · ICRA 2015

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

observability analysis · 0.3nonlinear observer · 0.3continuous homography · 0.3cooperative control policy · 0.2
YearPublicationVenuePosition
2018 Attitude, Linear Velocity and Depth Estimation of a Camera Observing a Planar Target Using Continuous Homography and Inertial Data
abstract
This paper revisits the problem of estimating the attitude, linear velocity and depth of an IMU-Camera with respect to a planar target. The considered solution relies on the measurement of the optical flow (extracted from the continuous homography) complemented with gyrometer and accelerometer measurements. The proposed deterministic observer is accompanied with an observability analysis that points out camera's motion excitation conditions whose satisfaction grants stability of the observer and convergence of the estimation errors to zero. The performance of the observer is illustrated by performing experiments on a testbed IMU-Camera system.
Minh-Duc Hua, Ninad Manerikar, Tarek Hamel, Claude Samson
ICRA2
2015 On autonomous cooperative Underwater Floating Manipulation Systems
abstract
In this paper we present a novel co-operative control policy purely for the transportation of large objects in underwater environments using two free floating vehicles, each one endowed with a 7 d.o.f redundant manipulator. Due to the presence of harsh conditions in underwater scenarios, it is extremely important to realize algorithms that depend on a minimal amount of explicit information exchanged by the agent, or without any exchange of information at all. To achieve this goal the control policy proposed in the paper only requires the exchange of six numbers at each time instant, while however exhibiting extremely good performances, inspite of the restraints on the information exchange.
Ninad Manerikar, Giuseppe Casalino, Enrico Simetti, Sandro Torelli, Alessandro Sperindé
ICRA1