Priyanka Khante

The University of Texas at Austin

Papers

6

Total Citations

197

H-Index

5

About

Priyanka Khante’s research lies at the intersection of artificial intelligence, robotics, and human-robot interaction, with a focus on enabling robots to understand and collaborate with humans in dynamic, real-world environments. Her most cited work, “BWIBots: A platform for bridging the gap between AI and human–robot interaction research” (115 citations), introduced a custom multi-robot platform designed to execute complex service tasks, providing a critical infrastructure for advancing AI-driven robotics. Khante’s contributions extend to integrated intent recognition and communication, where her 2018 study demonstrated how combining predictive motion and explicit communication enhances human-robot collaboration in physical tasks. She has also pioneered situated reasoning frameworks that allow robots to operate in diverse everyday settings, and developed novel methods for learning ordinal object relations through haptic and proprioceptive exploration—a departure from traditional categorical classification. Her work on robot-centric activity recognition “in the wild” addresses the challenge of spontaneous human activity detection from a mobile robot’s perspective, using a unique dataset collected autonomously. With over 197 citations across her key publications, Khante’s research is shaping how robots perceive, reason, and interact in unstructured environments, making her a notable figure in the push toward truly autonomous and collaborative robotic systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
197
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
BWIBots: A platform for bridging the gap between AI and human–robot interaction research
115 citations · 2017
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: The University of Texas at Austin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago