Aneesh Chauhan

About

Aneesh Chauhan’s research lies at the intersection of robotics, artificial intelligence, and cognitive systems, with a primary focus on enabling robots to learn and interact with their environment through language. His most influential work, “How many words can my robot learn? An approach and experiments with one-class learning” (40 citations), pioneered methods for grounding object names in robotic perception, allowing robots to learn vocabulary through human instruction. Chauhan’s contributions extend to developing perceptual memory systems for semantic grounding in service robots (32 citations), where he addressed the critical challenge of anchoring abstract symbols to physical objects. His work on open-ended category learning (19 citations) and interactive teaching (22 citations) has been instrumental in creating robots capable of continuous, unsupervised knowledge acquisition. Notably, his recent research on robotics for quality-driven post-harvest supply chains (32 citations) demonstrates the practical application of his expertise, exploring soft-robotics solutions for handling delicate agricultural products. Chauhan’s comprehensive survey of commercial robotic arms (17 citations) has also become a valuable resource for researchers in manipulation. Through his decade-spanning work, Chauhan has established himself as a key figure in developing robots that can learn, adapt, and communicate effectively with humans in real-world settings.

Research Focus

Key Achievements

Top Papers

1. 1
   How many words can my robot learn? An approach and experiments with one-class learning

   40 citations · 2007
2. 2
   Robotics for a Quality-Driven Post-harvest Supply Chain

   32 citations · 2022
3. 3
   A perceptual memory system for grounding semantic representations in intelligent service robots

   32 citations · 2014
4. 4
   Using spoken words to guide open-ended category formation

   24 citations · 2011
5. 5
   Interactive teaching and experience extraction for learning about objects and robot activities

   22 citations · 2014
6. 6
   Open-ended category learning for language acquisition

   19 citations · 2008
7. 7
   A brief survey of commercial robotic arms for research on manipulation

   17 citations · 2012
8. 8
   Acquiring Vocabulary through Human Robot Interaction: A Learning Architecture for Grounding Words with Multiple Meanings

   3 citations · 2010
9. 9
   Measuring the response of soft fruits to robotic handling

   2 citations · 2025
10. 10
    How many words can my robot learn? An approach and experiments with one-class learning

    2 citations · 2009

Key Collaborators

Contact & Links