activity
20162023
most citedCan an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation

79 citations · 518 across the 116 of their papers we have counts for

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Showing 2018Show all

27 papers · 1 filter

cs.GR2018

Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization

Jiaping Ren, Wei Xiang, Yangxi Xiao +3

Interactive multi-agent simulation algorithms are used to compute the trajectories and behaviors of different entities in virtual reality scenarios. However, current methods involv…

cs.RO2018

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera +1

We present a new algorithm for predicting the near-term trajectories of road-agents in dense traffic videos. Our approach is designed for heterogeneous traffic, where the road-agen…

cs.RO2018

Solving Chance Constrained Optimization under Non-Parametric Uncertainty Through Hilbert Space Embedding

Bharath Gopalakrishnan, Arun Kumar Singh, K. Madhava Krishna +1

In this paper, we present an efficient algorithm for solving a class of chance constrained optimization under non-parametric uncertainty. Our algorithm is built on the possibility…

cs.GR2018

VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation

Hsien-Yu Meng, Lin Gao, YuKun Lai +1

We present a novel algorithm for point cloud segmentation. Our approach transforms unstructured point clouds into regular voxel grids, and further uses a kernel-based interpolated…

cs.CV2018

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

Yuexin Ma, Xinge Zhu, Sibo Zhang +3

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pe…

cs.RO2018

Collision-Free Kinematics for Redundant Manipulators in Dynamic Scenes using Optimal Reciprocal Velocity Obstacles

Liangliang Zhao, Jingdong Zhao, Hong Liu +1

We present a novel algorithm for collision-free kinematics of multiple manipulators in a shared workspace with moving obstacles. Our optimization-based approach simultaneously hand…