activity
20132020
most citedLearning Robust Dialog Policies in Noisy Environments

19 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Situated and Interactive Multimodal Conversations

Seungwhan Moon, Satwik Kottur, Paul A. Crook +9

Next generation virtual assistants are envisioned to handle multimodal inputs (e.g., vision, memories of previous interactions, in addition to the user's utterances), and perform m…

cs.CL2019★ 12 cited

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform

Paul A. Crook, Shivani Poddar, Ankita De +4

As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behaviour of users as they interact with these assistants. To this end…

cs.CL2017★ 19 cited

Learning Robust Dialog Policies in Noisy Environments

Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao +4

Modern virtual personal assistants provide a convenient interface for completing daily tasks via voice commands. An important consideration for these assistants is the ability to r…

cs.RO2017

Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays

Eric Rosen, David Whitney, Elizabeth Phillips +4

Efficient motion intent communication is necessary for safe and collaborative work environments with collocated humans and robots. Humans efficiently communicate their motion inten…

cs.RO2013★ 9 cited

Curiosity Based Exploration for Learning Terrain Models

Yogesh Girdhar, David Whitney, Gregory Dudek

We present a robotic exploration technique in which the goal is to learn to a visual model and be able to distinguish between different terrains and other visual components in an u…