research
∙
09/21/2023
HiCRISP: A Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner
The integration of Large Language Models (LLMs) into robotics has revolu...
share
research
∙
09/18/2023
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Grasping occluded objects in cluttered environments is an essential comp...
research
∙
07/20/2023
Control Input Inference of Mobile Agents under Unknown Objective
Trajectory and control secrecy is an important issue in robotics securit...
research
∙
06/23/2023
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
We study a class of reinforcement learning (RL) tasks where the objectiv...
research
∙
01/20/2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning
We revisit the estimation bias in policy gradients for the discounted ep...
research
∙
06/07/2022
Adaptive Obstacle Avoidance Algorithm Based on Trajectory Learning
Most obstacle avoidance algorithms are only effective in specific enviro...
research
∙
03/26/2021
Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic
Pandemics can bring a range of devastating consequences to public health...
research
∙
08/20/2020
Markov Chain-Based Stochastic Strategies for Robotic Surveillance
This article surveys recent advancements of strategy designs for persist...
research
∙
06/17/2020
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
This paper introduces two metrics (cycle-based and memory-based metrics)...
research
∙
12/04/2019