Dixant Mittal
Papers
1
Total Citations
92
H-Index
1
About
Dixant Mittal is a researcher at the intersection of robotics, computer vision, and natural language processing, with a primary focus on enabling robots to understand and act upon human language in real-world environments. His most impactful contribution is the INGRESS system, which allows robots to follow natural language instructions for pick-and-place tasks by grounding referring expressions—interpreting complex descriptions of objects and their spatial relationships from both visual and linguistic inputs. This work, published in 2020, has garnered 92 citations, reflecting its significance in advancing human-robot interaction. Mittal’s research addresses the fundamental challenge of bridging the gap between abstract language and physical actions, making robots more intuitive and accessible for everyday use. His achievements highlight a commitment to creating systems that seamlessly integrate perception, reasoning, and manipulation, paving the way for more capable and collaborative robotic assistants.
Research Focus
Key Achievements
Top Papers
- 1INGRESS: Interactive visual grounding of referring expressions92 citations · 2020