Tessa van der Heiden
Papers
2
Total Citations
14
H-Index
2
About
Tessa van der Heiden is a rising researcher in the field of socially-aware robotics, with a focus on human-robot interaction and autonomous navigation. Her work centers on developing algorithms that enable mobile robots to navigate crowded, human-populated environments in a socially compliant manner—a critical challenge as robots increasingly share workspaces with people. Van der Heiden’s major contribution lies in integrating deep reinforcement learning with the concept of human empowerment, allowing robots to not only avoid collisions but also respect human autonomy and comfort. Her most cited paper (2020, 9 citations) provides a foundational overview of socially-compliant navigation, while her follow-up work on empowerment-driven reinforcement learning (2020, 5 citations) introduces a novel framework that balances efficiency with social norms. Though early in her career, her research has already garnered attention for its innovative approach to making robots more intuitive and acceptable to humans. Van der Heiden’s work is particularly notable for bridging technical robotics with psychological principles, offering a path toward safer, more collaborative human-robot teams.
Research Focus
Key Achievements
Top Papers
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