addy1997

#import the libraries
import numpy as np
import os
import time
import sys
import gym
from gym import error, spaces, utils
import copy
from gym.utils import seeding
import matplotlib.pyplot as plt

addy1997

#creating Grid Environment

COLORS = {0:[0.0,0.0,0.0], 1:[0.5,0.5,0.5], 
          2:[0.0,0.0,1.0], 3:[0.0,1.0,0.0], 
          4:[1.0,0.0,0.0], 6:[1.0,0.0,1.0], 
          7:[1.0,1.0,0.0]}


class GridEnv(gym.Env):
    

addy1997

#next step

def step(self, action):
            
            action = self.actions
            reward_dict = {'up':10, 'down':10, 'left':10, 'right':10, 'begin':0, 'obstacle':-5}
        
            next_state = (self.agent_state[0]+self.actions_pos_dict[actions][0],
                          self.agent_state[1]+self.actions_pos_dict[actions][1] )
            

addy1997

#constructing grid and fetching observations
#reading the data from the grid

def read_grid_map(self, insert_grid_map):
            with open(insert_grid_map, 'r') as f:
                
                grid_map = f.readlines()
                grids = np.array(list(map(lambda x: 
                        list(map(lambda y: int(y), 
                    x.split(''))), grid_map)))

addy1997

#fetching agent states

def get_agent_states(self):
            
            start_state  = None
            target_state = None
            start_state = list(map(lambda x:x[0] if len(x) > 0 else None, np.where(insert_grid_map==4)))
            
            target_state = list(map(lambda x:x[0] if len(x) > 0 else None, np.where(insert_grid_map==3)))
            

addy1997

def get_agent_states(self):
            
            start_state  = None
            target_state = None
            start_state = list(map(lambda x:x[0] if len(x) > 0 else None, np.where(insert_grid_map==4)))
            
            target_state = list(map(lambda x:x[0] if len(x) > 0 else None, np.where(insert_grid_map==3)))
            
            if (start_state == [None, None] or target_state == [None, None]):
                sys.exit('Start or Target state not specified')

addy1997

Hi, I am Adwait, an Electronics engineer by profession with a knack for learning to program intelligent machines. A roboticist by choice and guitarist in leisure time, I like to learn new languages(I already can speak 7) and do speed cubing when I am not punching keys on my computer. Previously, I worked at HTIC, IIT-Madras with the Spine Robotics team on an amazing project based on Image Guided Surgery (IGS) for the UR5 robotic arm. Previous to that, I was a summer fellow at CVIT, IIIT-H. In my sophomore year, I worked as robotics intern at KUKA, India along with the team of few engineers from ISRO on developing motion planning algorithms for robotic arms. Currently, I am waiting to join my master's at University of Bristol in Robotics.

addy1997

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 5 00:24:39 2021

@author: adwaitnaik
"""

import pandas as pd
import numpy as np

addy1997

## Follow this link for further updates to Github Desktop for Ubuntu https://github.com/shiftkey/desktop/releases/latest
# UPDATE (2021-10-18): Thanks to Amin Yahyaabadi's message, the updated code is as follows

sudo wget https://github.com/shiftkey/desktop/releases/download/release-2.9.3-linux3/GitHubDesktop-linux-2.9.3-linux3.deb
### Uncomment below line if you have not installed gdebi-core before
# sudo apt-get install gdebi-core 
sudo gdebi GitHubDesktop-linux-2.9.3-linux3.deb

# UPDATE (2021-03-05): Thanks to PaoloRanzi81's comment, the updated code is as follows https://gist.github.com/PaoloRanzi81

addy1997

AFRAME.registerComponent('camera-logger', {
    schema: {
        timestamp: {
            type: 'int'
        },
        seconds: {
            type: 'int'
        }
    },
    init: function() {