most citedA Comprehensive Review of Generative Physical Artificial Intelligence

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Secure Agentic AI and Multimodal Intelligence in 6G Communication Systems

Satyam Gaba, Devanshu Motwani, Siva Sai +3

Sixth-generation (6G) communication systems are expected to support immersive, intent-driven, and latency-critical services through tight integration of multimodal intelligence, ed…

cs.RO2026★ 2 cited

A Comprehensive Review of Generative Physical Artificial Intelligence

Satyam Gaba, Krutiksinh Rana, Siva Sai +2

The integration of large-scale foundation models with physical embodiments has led to significant advancements in robotics known as Generative Physical Artificial Intelligence (GPA…

cs.CV2026

SCD4VPR: Multi-modal Scene Change Detection for Long-term Visual Place Recognition Database Update

Diwei Sheng, Vijayraj Gohil, Satyam Gaba +5

Long-term autonomy in mobile robotics requires maps that remain accurate as environments change over time. Visual Place Recognition (VPR), a core localization capability, degrades…

cs.CV2025★ 1 cited

Improving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning

Satyam Gaba

Object detection has been widely explored for class-balanced datasets such as COCO. However, real-world scenarios introduce the challenge of long-tailed distributions, where numero…

cs.CV2025★ 1 cited

Generative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap

Satyam Gaba

The early detection of wildfires is a critical environmental challenge, with timely identification of smoke plumes being key to mitigating large-scale damage. While deep neural net…