1. Context-Specific Intention Awareness through Web Query
ICRA 2015 – NO.137
Nominated as best conference paper award, best student paper award, best cognitive robotics paper award.
Context-Specific Intention Awareness through Web Query
Rui Liu
Dr. Xiaoli Zhang
Jeremy Webb
Songpo Li
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
bio, cooperation

2. Colorado School of Mines, Colorado, USA
Introduction
Context-Specific Intention Awareness
Explores environmental context to infer intention in robotic caregiving
Implicitly infer human intention without much user involvements
Challenges
Limited knowledge of Intention-environment correlation: source, cost
Lack knowledge learning in new situations
Solution: WebIA
Collect knowledge by web query
Update knowledge by situations
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
definition, important, challenging, to solve it.

3. Colorado School of Mines, Colorado, USA
WebIA Framework
Performance unsatisfied >> Learn >>Update
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
flow, update

4. Colorado School of Mines, Colorado, USA
WebIA
Answering 2 questions:
Is WebIA feasible ?
If feasible, how good it is ?
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
short mention 2 questions.

5. Colorado School of Mines, Colorado, USA
Evaluation
Knowledge Acquisition
Web query 1470 wikihow webpages
Survey 120 volunteers
Robot-involved E xperiments
(a) Trained situation
(b) Untrained new situation
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
1. short introduction.

6. Colorado School of Mines, Colorado, USA
Evaluation
Cup-related Commonsense Knowledge from the Web
IA performance
Drink: 100%
Wash: 85%
Consistency Comparison of Knowledge from Web & Survey
Specific context is important for specific intention
Consistent
New Situation
Before Learning: 57.5%
After Learning: 100%
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab

7. Colorado School of Mines, Colorado, USA
Conclusion
WebIA effectively learned the knowledge of human-environment relation and accurately inferred human intention in specific situations.
Feasible: WebIA has the potential to query vast and valuable knowledge from the internet to assist human-robot interaction
Reasonable: Web knowledge is helpful in filling robots’ knowledge gap for new situation adaptation
Economic: WebIA reduces the training cost
Colorado School of Mines, Colorado, USA
Intelligent Healthcare Robotics Lab
effectively learn, accurately infer.

8. Colorado School of Mines, USA
Authors
Rui Liu, PhD Student
Interests: robot knowledge, computational linguistics and machine learning
Research Gate:
Google Scholar:
Xiaoli Zhang, Assistant Professor
Interests: intelligent human-robot interaction, human intention awareness, robotics system design and control, haptics, and their applications in healthcare fields
Colorado School of Mines, USA
Intelligent Healthcare Robotics Lab