Kishan Chandan
Papers
8
Total Citations
112
H-Index
5
About
Kishan Chandan is a robotics and AI researcher whose work sits at the intersection of human-robot collaboration, augmented reality (AR), and autonomous planning. His research addresses some of the most pressing challenges in deploying robots alongside humans — enabling richer communication, smarter decision-making, and more intuitive interaction. Chandan's most influential contribution, "Reasoning With Scene Graphs for Robot Planning Under Partial Observability" (2022, 45 citations), demonstrates how structured scene representations can empower robots to reason about complex, uncertain environments. His ARROCH framework (2021, 33 citations) pioneered the use of augmented reality as a communication bridge between robots and human collaborators, moving beyond traditional language and gesture interfaces. Building on this foundation, he developed ARDIE (2023–2024), a multimodal system integrating AR, dialogue, and eye-gaze cues to enhance situational awareness in collaborative settings. Chandan has also explored reinforcement learning guided by automated planning (2021) and attention management on telepresence robots equipped with 360° vision. Across his portfolio, his work consistently pushes toward robots that are not only autonomous but genuinely collaborative — capable of negotiating, communicating, and adapting alongside human partners in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Reasoning With Scene Graphs for Robot Planning Under Partial Observability45 citations · 2022
- 2ARROCH: Augmented Reality for Robots Collaborating with a Human33 citations · 2021
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- 4Negotiation-based Human-Robot Collaboration via Augmented Reality9 citations · 2019
- 5
- 6ARROCH: Augmented Reality for Robots Collaborating with a Human4 citations · 2021
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- 8ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration2 citations · 2023