1 citations · 1 across the 4 of their papers we have counts for
6 papers
SphMind: Towards Robust, Training-Free VLM-based Spatial Reasoning with a 360 Camera
Shriram Damodaran, Soumyaratna Debnath, Cheston Tan +1
Omnidirectional or 360 cameras provide embodied AI agents with a holistic, wide field-of-view (FoV) view of their surroundings, motivating the use of Multi-modal Large Language Mod…
ActionGround: Training-Free Runtime Refinement of Frozen VLA Policies
Namai Chandra, Madhur Thareja, Shriram Damodaran +1
Vision-Language-Action (VLA) models map visual observations and language instructions directly to robot actions, but they do not explicitly represent the phase structure of manipul…
AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
Soumyaratna Debnath, Weiming Zhang, Shriram Damodaran +2
Spherical Transformers have emerged as a promising framework for panoramic semantic segmentation (PASS) by operating directly on spherical geometry and alleviating projection-induc…
EAGOR: Embodied Reasoning in Omni-direction
Shriram Damodaran, Soumyaratna Debnath, Yan Wu +2
Omni-directional (360°) cameras provide embodied agents with a holistic view of their surroundings, making them suited for directional reasoning in tasks such as navigation and obj…
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation
Namai Chandra, Shriram Damodaran, Lin Wang
Vision-Language-Action (VLA) models excel at mapping visual inputs and natural language instructions directly to robotic control policies. However, because they are trained primari…
Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective
Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang +6
Recent advances in agentic AI have led to systems capable of autonomous task execution and language-based reasoning, yet their spatial reasoning abilities remain limited and undere…