← Search

Davide Bazzi

4 accepted papers

2022

RRT* and Goal-Driven Variable Admittance Control for Obstacle Avoidance in Manual Guidance Applications

RA-L 2022

In manual guidance robotic applications, like the handling of large and heavy objects in a cluttered environment, it is important to guarantee that the operator accurately reaches the goal position without collisions with working isles or other obstacles in the surrounding environment. When the tran

Cited by 10SourceScholar
2021

A Unified Approach for Virtual Fixtures and Goal-Driven Variable Admittance Control in Manual Guidance Applications

RA-L 2021

In applications of human-robot physical interaction, it is important to guarantee high accuracy not only in terms of the position of the end-effector, but also in terms of its orientation. While translational movements are easily understandable for a human, rotational ones do not have an immediate i

Cited by 21SourceScholar
2020

Goal-driven variable admittance control for robot manual guidance

IROS 2020poster

In this paper we address variable admittance control for human-robot physical interaction in manual guidance applications. In the proposed solution, the parameters of the admittance filter can change not only as a function of the current state of motion (i.e. whether the human guiding the robot ia a…

Cited by 9SourceScholar
2019

Optimal Proactive Path Planning for Collaborative Robots in Industrial Contexts

ICRA 2019poster

The coexistence of humans and robots in the future production plants is one of the pillars of Industry 4.0. Humans and robots will collaborate to accomplish common tasks in order to mutually compensate their deficiencies. In recent years, many efforts have been spent to develop safe motion planning…

Cited by 24SourceScholar