Himangshu Sarma
University of Bremen, Staats- und Universitätsbibliothek Bremen
Papers
3
Total Citations
11
H-Index
2
About
Himangshu Sarma is a researcher at the forefront of bridging natural language and physical motion, with a primary focus on text-to-animation systems, human-robot interaction, and automated skill acquisition. His most notable contribution is the development of a text-to-animation system for physical exercises, which enables robots to interpret textual instructions and generate corresponding body movements—a critical step toward automating skill learning in everyday activities. This work, published in 2018, has garnered 5 citations and lays the foundation for generating virtual movement from textual descriptions, as further explored in his 2020 study on quality assessment for movement generation. Sarma’s research addresses the challenge of creating large body movement datasets from text and images, with applications spanning serious games for health and robotics. Additionally, his 2016 work on automated simulation in industry demonstrates the broader impact of his methods in manufacturing and training contexts. By tackling the complex problem of translating language into motion, Sarma is paving the way for more intuitive human-robot collaboration and accessible skill acquisition systems.
Research Focus
Key Achievements
Top Papers
- 1A Text to Animation System for Physical Exercises5 citations · 2018
- 2
- 3A Step Toward Automated Simulation in Industry2 citations · 2016