Abstract
Displacements of large objects induced by vibration are
a common occurrence, but the motion is generally
unpredictable. Think for instance of an unbalanced
front-loading washing machine. For controlled
movement, wheels or legs are usually preferred.
In this work, we explore a strategy for moving everyday objects by introducing or harvesting random external vibration rather than using a mechanical system with wheels. We designed vibration modules that can be easily attached to furniture and objects. After learning how several random bursts of vibration affect its pose, an optimization algorithm discovers the optimal sequence of vibration patterns required to (slowly but surely) move the object to a specified position.
This principle may be useful for displacing large or small objects in situations where attaching wheels or complete lifting is impossible – assuming the speed of the process is not a concern. Embedding vibration modules as part of mass-produced objects may provide a low-cost way to make almost anything mobile.
In this work, we explore a strategy for moving everyday objects by introducing or harvesting random external vibration rather than using a mechanical system with wheels. We designed vibration modules that can be easily attached to furniture and objects. After learning how several random bursts of vibration affect its pose, an optimization algorithm discovers the optimal sequence of vibration patterns required to (slowly but surely) move the object to a specified position.
This principle may be useful for displacing large or small objects in situations where attaching wheels or complete lifting is impossible – assuming the speed of the process is not a concern. Embedding vibration modules as part of mass-produced objects may provide a low-cost way to make almost anything mobile.
| Original language | English |
|---|---|
| Title of host publication | CHI EA'17 |
| Subtitle of host publication | Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery |
| Pages | 457 |
| Number of pages | 1 |
| ISBN (Print) | 978-1-4503-4656-6 |
| DOIs | |
| Publication status | Published - May 2017 |
| Externally published | Yes |
| Event | CHI EA '17: Human Factors in Computing Systems - Denver, CO, United States Duration: 6 May 2017 → 11 May 2017 |
Publication series
| Name | CHI EA ’17 |
|---|---|
| Publisher | Association for Computing Machinery |
Conference
| Conference | CHI EA '17 |
|---|---|
| Place | United States |
| City | Denver, CO |
| Period | 6/05/17 → 11/05/17 |
Research Keywords
- vibration
- tracking
- robot locomotion
- optimization
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