activity
20192025
most citedVision-Language Interpreter for Robot Task Planning

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

KeyMPs: One-Shot Vision-Language Guided Motion Generation by Sequencing DMPs for Occlusion-Rich Tasks

Edgar Anarossi, Yuhwan Kwon, Hirotaka Tahara +6

Dynamic Movement Primitives (DMPs) provide a flexible framework wherein smooth robotic motions are encoded into modular parameters. However, they face challenges in integrating mul…

cs.CV2024★ 1 cited

SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters

Shohei Tanaka, Hao Wang, Yoshitaka Ushiku

Scientific posters are used to present the contributions of scientific papers effectively in a graphical format. However, creating a well-designed poster that efficiently summarize…

cs.RO2023★ 4 cited

Vision-Language Interpreter for Robot Task Planning

Keisuke Shirai, Cristian C. Beltran-Hernandez, Masashi Hamaya +6

Large language models (LLMs) are accelerating the development of language-guided robot planners. Meanwhile, symbolic planners offer the advantage of interpretability. This paper pr…

cs.CL2023★ 1 cited

Whats New? Identifying the Unfolding of New Events in Narratives

Seyed Mahed Mousavi, Shohei Tanaka, Gabriel Roccabruna +3

Narratives include a rich source of events unfolding over time and context. Automatic understanding of these events provides a summarised comprehension of the narrative for further…

cs.CL2021

ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions

Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1

Human-assisting systems such as dialogue systems must take thoughtful, appropriate actions not only for clear and unambiguous user requests, but also for ambiguous user requests, e…

cs.CL2019

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding

Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1

We propose a novel method for selecting coherent and diverse responses for a given dialogue context. The proposed method re-ranks response candidates generated from conversational…