Bashira Akter Anima

University of Nevada, Reno

Papers

4

Total Citations

12

H-Index

3

About

Bashira Akter Anima is a researcher at the forefront of cognitive human-robot interaction (HRI), specializing in how robots can autonomously coordinate with humans in dynamic, collaborative environments. Her work centers on hierarchical task execution and theory of mind, enabling robots to infer human intentions and adapt their actions accordingly. In her most-cited paper, "Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture" (2019, 5 citations), she introduced a novel cognitive architecture that allows robots to recognize both explicit commands and implied actions by constructing associative links between objects and tasks. This foundational work has been extended in her 2023 study (3 citations), which addresses task selection in rapidly changing settings. Anima also explores social dynamics in HRI, as seen in "Birds of a Feather Flock Together" (2021, 3 citations), a study on status homophily that reveals how human biases affect robot team acceptance. Her most recent contribution (2025, 1 citation) tackles the complex challenge of multi-robot coordination, using simulation theory of mind to prevent overlapping actions in heterogeneous teams. With a growing citation record and a focus on making robots more intuitive teammates, Anima is shaping the future of seamless human-robot collaboration.

Research Focus

Key Achievements

3
H-Index
4
Papers
12
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Nevada, Reno

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago