Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration

no code implementations • 13 Nov 2022 • Kishan Chandan, Jack Albertson, Shiqi Zhang

In human-robot collaboration domains, augmented reality (AR) technologies have enabled people to visualize the state of robots.

Unity

Reasoning with Scene Graphs for Robot Planning under Partial Observability

no code implementations • 21 Feb 2022 • Saeid Amiri, Kishan Chandan, Shiqi Zhang

Robot planning in partially observable domains is difficult, because a robot needs to estimate the current state and plan actions at the same time.

Guiding Robot Exploration in Reinforcement Learning via Automated Planning

no code implementations • 23 Apr 2020 • Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Keiki Takadama, Shiqi Zhang

Reinforcement learning (RL) enables an agent to learn from trial-and-error experiences toward achieving long-term goals; automated planning aims to compute plans for accomplishing tasks using action knowledge.

reinforcement-learning Reinforcement Learning (RL)