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Andry Maykol Pinto

2 accepted papers

2019

An Adaptive Velocity Obstacle Avoidance Algorithm for Autonomous Surface Vehicles

IROS 2019poster

This paper presents a new algorithm for a real-time obstacle avoidance for autonomous surface vehicles (ASV) that is capable of undertaking preemptive actions in complex and challenging scenarios. The algorithm is called adaptive velocity obstacle avoidance (AVOA) and takes into consideration the ki…

Cited by 32SourceScholar
2016

Assessment of Robotic Picking Operations Using a 6 Axis Force/Torque Sensor

RA-L 2016

This letter presents a novel architecture for evaluating the success of picking operations that are executed by industrial robots. It is formed by a cascade of machine learning algorithms (kNN and SVM) and uses information obtained by a 6 axis force/torque sensor and, if available, information from

Cited by 21SourceScholar