Chaitanya Kharyal

Indian Institute of Technology Hyderabad

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About

Chaitanya Kharyal is a researcher advancing the field of embodied AI, with a primary focus on object goal navigation (ObjectNav) and spatial reasoning for autonomous robots. His most notable contribution is the development of a framework that integrates a Spatial Relation Graph (SRG) with Graph Convolutional Networks (GCNs) to enable robots to efficiently locate target objects in unknown environments. By learning from historical trajectory data, Kharyal’s approach allows agents to build and leverage relational maps of their surroundings, significantly improving navigation success rates over prior methods. This work, published in 2022, has already garnered 8 citations, reflecting its growing influence in the robotics and computer vision communities. Kharyal’s research addresses a critical challenge in service robotics: enabling machines to understand spatial semantics and act on high-level commands like “find the cup.” His contributions are particularly relevant for applications in home assistance, warehouse automation, and search-and-rescue operations. By bridging graph-based reasoning with deep learning, Kharyal is helping to create more intelligent, context-aware robots capable of navigating complex, dynamic spaces with minimal prior knowledge.