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Massachusetts Institute of Technology

Robot designed for socially acceptable navigation

Abstract

dc:description.abstract

Autonomous (self-driving) vehicles are increasingly being tested on highways and city streets. But there is also a need for robots that can navigate through environments like sidewalks, buildings, and hallways. In these situations, the robots must interact and cooperate with pedestrians in a socially acceptable manner. The "rules of the road" no longer apply -- there are no lanes or street signs, and pedestrians don't use turn signals when cutting through crowds. This thesis describes the hardware and software architecture of a robot that was developed for this application. This thesis also proposes a 2nd generation robot with tighter budget and size constraints. Finally, this thesis presents a novel collision avoidance method that extends the Reciprocal Velocity Obstacle (RVO) framework to consider the impact of planning decisions on future world states.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Everett, Michael F
Advisor dc:contributor.advisor
  • Jonathan P. How.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/111698
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/111698

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Everett, Michael F. Robot designed for socially acceptable navigation. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111698