4 papers
SABER: A Scalable Action-Based Embodied Dataset for Real-World VLA Adaptation
Narsimha Menga, Parikshit Sakurikar, Amirreza Rouhi +6
Robotic deployment in real-world environments depends on rich, domain-specific action data as much as on strong model architecture. General-purpose robot foundation models show mod…
PRISM: A Multi-View Multi-Capability Retail Video Dataset for Embodied Vision-Language Models
Amirreza Rouhi, Parikshit Sakurikar, Satya Sai Reddy +6
A critical gap exists between the general-purpose visual understanding of state-of-the-art physical AI models and the specialized perceptual demands of structured real-world deploy…
From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences
Prashant Kodali, Anmol Goel, Likhith Asapu +5
Current computational approaches for analysing or generating code-mixed sentences do not explicitly model ``naturalness'' or ``acceptability'' of code-mixed sentences, but rely on…
QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding
Yash Mehan, Kumaraditya Gupta, Rohit Jayanti +3
Robotic tasks such as planning and navigation require a hierarchical semantic understanding of a scene, which could include multiple floors and rooms. Current methods primarily foc…