Exploration and mapping are fundamental prerequisites for autonomous robots operating in initially unknown environments. In this paper, we evaluate simple yet efficient frontier-based exploration strategies. Furthermore, we discuss improvements to the classic frontier-based exploration strategy by Yamauchi et al. that further shorten the resulting exploration paths and present results from a co...

potassium bromide (kbr), an old antiepileptic agent, is illegally used in pharmaceutical or food industries to improve the product appearance. kbr has been proven to influence several pathways which are important in memory formation. therefore, the present study aimed to evaluate the effect of kbr on spatial working memory using object recognition task (ort). rats received a single dose of kbr ...

the study area is located in the south of kerman province and in the esphandoghe- dolatabad zone. numerous chromite ores were found in the area that has been explored by surface outcrops. with respect to the previous exploration- exploitation works and the absence of the pilot layer, the best option was the boreholes’ drilling was the best choice in order to complete the detailed information. f...

This work proposes a technique for distributed multi-robot exploration that leverages novel map inference to increase the team’s cumulative exploration efficiency. The multirobot team uses a distributed algorithm to coordinate the exploration using both the inferred and observed portions of the map. Individual robots select exploration poses by accounting for expected information gain and trave...

This paper presents a framework allowing to tune continual exploration in an optimal way. It first quantifies the rate of exploration by defining the degree of exploration of a state as the probability-distribution entropy for choosing an admissible action. Then, the exploration/exploitation tradeoff is stated as a global optimization problem: find the exploration strategy that minimizes the ex...

Many reinforcement learning exploration techniques are overly optimistic and try to explore every state. Such exploration is impossible in environments with the unlimited number of states. I propose to use simulated exploration with an optimistic model to discover promising paths for real exploration. This reduces the needs for the real exploration.

Objective(s) Cannabinoids have been implicated in memory deficit. We examined the effect of AM281, cannabinoid antagonist/inverse agonist in prevention of scopolamine-induced cognitive deficit. Materials and Methods  Object recognition task was used to evaluate memory in mice. Exploration time in the first and the second trial was recorded. The differences in exploration between a previously...

Augmented Downhill Simplex Method (ADSM) is introduced here, that is a heuristic combination of Downhill Simplex Method (DSM) with Random Search algorithm. In fact, DSM is an interpretable nonlinear local optimization method. However, it is a local exploitation algorithm; so, it can be trapped in a local minimum. In contrast, random search is a global exploration, but less efficient. Here, rand...

This paper presents the design and use of INCAPE (INtegrated Cache Analysis and Power Estimation). The proposed tool integrates an extended analytical model for power estimation in caches within a retargetable cross-design environment. INCAPE has been used to perform experimental design space exploration and analysis of the main factors that strongly impact on the power dissipation of the cache...