activity
20242026
most citedAI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.AI20261 cited

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

Joydeep Biswas, Sheila Schoepp, Gautham Vasan +10

Scientific peer review faces mounting strain as submission volumes surge, making it increasingly difficult to sustain review quality, consistency, and timeliness. Recent advances i…

cs.RO2025

ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion

Zichao Hu, Chen Tang, Michael J. Munje +6

This paper considers the problem of enabling robots to navigate dynamic environments while following instructions. The challenge lies in the combinatorial nature of instruction spe…

cs.RO2025

SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation

Michael J. Munje, Chen Tang, Shuijing Liu +6

Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-Language Models (VLMs) exhibit…

cs.RO2024

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments

Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria +5

We study the problem of robot navigation in dense and interactive crowds with static constraints such as corridors and furniture. Previous methods fail to consider all types of spa…

cs.AI2024

Joint Verification and Refinement of Language Models for Safety-Constrained Planning

Yunhao Yang, Neel P. Bhatt, William Ward +3

Large language models possess impressive capabilities in generating programs (e.g., Python) from natural language descriptions to execute robotic tasks. However, these generated pr…

cs.RO2024

SoMaSLAM: 2D Graph SLAM for Sparse Range Sensing with Soft Manhattan World Constraints

Jeahn Han, Zichao Hu, Seonmo Yang +2

We propose a graph SLAM algorithm for sparse range sensing that incorporates a soft Manhattan world utilizing landmark-landmark constraints. Sparse range sensing is necessary for t…