Safe and Trustworthy Human-Robot Interaction
This academic book chapter examines the integration of safety and trustworthiness as primary design goals for human-assistive robots that directly interact with people. It focuses on verification and validation techniques, combining formal methods, simulation-based testing, and experimental evaluation to assess user trust. The text highlights the necessity of advanced verification methods to match the growing autonomy and sophisticated reasoning capabilities of robots operating in open environments.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and developers in robotics who need to understand safety assurance and verification techniques for human-robot interaction.
What the document contains
The chapter covers technical methodologies for verifying and validating robotic control code, simulation-based testing for human-robot interactions, and user trust evaluations.
The text does not provide legal regulations, binding government policy directives, or specific enforcement mechanisms for robotic safety.
- Safety and trustworthiness must be treated as primary design goals for assistive robots interacting with humans.
- Validating robot behavior requires a combination of formal methods, simulation-based testing, and experimental evaluation.
- As robots gain advanced artificial intelligence and autonomy, verification methods must evolve to match their complexity.
- User trust in robots is significantly influenced by robot performance, reliability, and error handling in practical settings.
Not stated
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
Abstract
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
This chapter is focused on techniques that can be used to gain confidence in the safety of code used to control robots that directly interact with humans.
Abstract
screening score · 2026-10-24