Future Horizons:
10-yearhorizon
Robots start to read human intention
25-yearhorizon
Humans and robots adapt to each other
At the most basic level, there has been progress on “human-aware” navigation algorithms that allow robots to safely occupy the same space as people.38‘Core Challenges of Social Robot Navigation: A Survey’
LLMs present a promising opportunity to chip away at these challenges by allowing humans to interface with robots through natural language.40‘Large Language Models for Human–Robot Interaction: A Review’
Understanding how humans interact with robots, both physically and psychologically, and what their expectations of the technology are, is also crucial.42‘Human–Robot Interaction: Control, Analysis, and Design’ Better understanding of how integrating robots into groups of humans impacts social dynamics is also needed.43‘Social Dynamics in Human-Robot Groups – Possible Consequences of Unequal Adaptation to Group Members Through Machine Learning in Human-Robot Groups’
Human-robot interaction - Anticipation Scores
The Anticipation Potential of a research field is determined by the capacity for impactful action in the present, considering possible future transformative breakthroughs in a field over a 25-year outlook. A field with a high Anticipation Potential, therefore, combines the potential range of future transformative possibilities engendered by a research area with a wide field of opportunities for action in the present. We asked researchers in the field to anticipate:
- The uncertainty related to future science breakthroughs in the field
- The transformative effect anticipated breakthroughs may have on research and society
- The scope for action in the present in relation to anticipated breakthroughs.
This chart represents a summary of their responses to each of these elements, which when combined, provide the Anticipation Potential for the topic. See methodology for more information.
