left: type: vector urdf_path: unitree_hand/unitree_dex3_left.urdf # Target refers to the retargeting target, which is the robot hand # target_joint_names: target_joint_names: [ "left_hand_thumb_0_joint", "left_hand_thumb_1_joint", "left_hand_thumb_2_joint", "left_hand_middle_0_joint", "left_hand_middle_1_joint", "left_hand_index_0_joint", "left_hand_index_1_joint", ] wrist_link_name: None target_origin_link_names: ["base_link_thumb","base_link_index","base_link_middle"] target_task_link_names: ["thumb_tip","index_tip","middle_tip"] target_link_human_indices: [[0, 0, 0], [4, 9, 14]] # Currently, the scaling factor for each finger is individually distinguished in the robot_hand_unitree.py file. # The Unitree Dex3 has three fingers with the same specifications, so the retarget scaling factors need to be adjusted separately. # The relevant code is as follows: # ref_left_value[0] = ref_left_value[0] * 1.15 # ref_left_value[1] = ref_left_value[1] * 1.05 # ref_left_value[2] = ref_left_value[2] * 0.95 # ref_right_value[0] = ref_right_value[0] * 1.15 # ref_right_value[1] = ref_right_value[1] * 1.05 # ref_right_value[2] = ref_right_value[2] * 0.95 scaling_factor: 1.0 # A smaller alpha means stronger filtering, i.e. more smooth but also larger latency low_pass_alpha: 0.2 right: type: vector urdf_path: unitree_hand/unitree_dex3_right.urdf # Target refers to the retargeting target, which is the robot hand target_joint_names: [ "right_hand_thumb_0_joint", "right_hand_thumb_1_joint", "right_hand_thumb_2_joint", "right_hand_index_0_joint", "right_hand_index_1_joint", "right_hand_middle_0_joint", "right_hand_middle_1_joint", ] wrist_link_name: None target_origin_link_names: ["base_link_thumb","base_link_index","base_link_middle"] target_task_link_names: ["thumb_tip", "index_tip", "middle_tip"] target_link_human_indices: [[0, 0, 0], [4, 9, 14]] scaling_factor: 1.0 # A smaller alpha means stronger filtering, i.e. more smooth but also larger latency low_pass_alpha: 0.2