constrained planning, robot segmentation
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@@ -31,22 +31,23 @@ model:
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cost:
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pose_cfg:
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vec_weight: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # orientation, position for all timesteps
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run_vec_weight: [1.00,1.00,1.00,1.0,1.0,1.0] # running weight orientation, position
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weight: [2000,500000.0,30,50] #[150.0, 2000.0, 30, 40]
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run_vec_weight: [0.00,0.00,0.00,0.0,0.0,0.0] # running weight orientation, position
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weight: [2000,500000.0,30,50]
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vec_convergence: [0.0,0.0] # orientation, position, orientation metric activation, position metric activation
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terminal: True
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run_weight: 0.0 #0.05
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run_weight: 1.0
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use_metric: True
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link_pose_cfg:
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vec_weight: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # orientation, position for all timesteps
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run_vec_weight: [1.00,1.00,1.00,1.0,1.0,1.0] # running weight orientation, position
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run_vec_weight: [0.00,0.00,0.00,0.0,0.0,0.0] # running weight orientation, position
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weight: [2000,500000.0,30,50] #[150.0, 2000.0, 30, 40]
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vec_convergence: [0.0,0.0] # orientation, position, orientation metric activation, position metric activation
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terminal: True
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run_weight: 0.0
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run_weight: 0.001
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use_metric: True
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cspace_cfg:
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weight: 10000.0
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terminal: True
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@@ -54,7 +55,7 @@ cost:
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bound_cfg:
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weight: [5000.0, 50000.0, 50000.0, 50000.0] # needs to be 3 values
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smooth_weight: [0.0,2000.0, 50.0, 0.0] # [vel, acc, jerk,]
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smooth_weight: [0.0,5000.0, 50.0, 0.0] # [vel, acc, jerk,]
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run_weight_velocity: 0.0
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run_weight_acceleration: 1.0
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run_weight_jerk: 1.0
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@@ -78,11 +79,11 @@ cost:
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lbfgs:
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n_iters: 400
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n_iters: 400 # 400
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inner_iters: 25
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cold_start_n_iters: 200
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cold_start_n_iters: null
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min_iters: 25
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line_search_scale: [0.01, 0.3,0.7,1.0] # #
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line_search_scale: [0.01, 0.3, 0.7,1.0] # #
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fixed_iters: True
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cost_convergence: 0.01
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cost_delta_threshold: 1.0
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@@ -90,7 +91,7 @@ lbfgs:
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epsilon: 0.01
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history: 15 #15
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use_cuda_graph: True
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n_envs: 1
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n_problems: 1
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store_debug: False
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use_cuda_kernel: True
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stable_mode: True
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